Publications of Nicolas DOBIGEON
Jin-Ju Wang, Nicolas Dobigeon, Marie Chabert, Ding-Cheng Wang, Ting-Zhu Huang, Jie Huang
CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors
Information Fusion, 2024, 107, pp.102313. ⟨10.1016/j.inffus.2024.102313⟩
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference
IEEE Transactions on Image Processing, 2024, 33, pp.3496-3507. ⟨10.1109/TIP.2024.3404338⟩
Xiao Zhang, Ismaël Cognard, Nicolas Dobigeon
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference—Application to pulsar observations
Astronomy and Computing, 2024, 47, pp.100822. ⟨10.1016/j.ascom.2024.100822⟩
Min Zhao, Jie Chen, Nicolas Dobigeon
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising
IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, pp.5512115. ⟨10.1109/TGRS.2024.3377472⟩
Valentin Gilet, Guillaume Mabilleau, Matthieu Loumaigne, Laureen Coic, Raffaele Vitale, Thomas Oberlin, José Henrique de M Goulart, Nicolas Dobigeon, Cyril Ruckebusch, David Rousseau
Superpixels meet essential spectra for fast Raman hyperspectral microimaging
Optics Express, 2023, 32 (1), pp.932. ⟨10.1364/OE.509736⟩
Carine Calastrenc, François Baleux, Nicolas Poirier, Christine Rendu, Pierre Campmajo, Nicolas Dobigeon, Muriel Llubes, Magali Philippe, Marie-Claude Bal, Nicolas Mellado, Claire Marais-Sicre
Arqueo 2.0. Renovación metodológica de la prospección arqueológica de zonas de montaña
Treballs d’Arqueologia, 2023, Mètodes i tècniques per a l’arqueologia de muntanya: aplicacions en àmbits pirinencs, 26, pp.95-109. ⟨10.5565/rev/tda.153⟩
Spatial–Spectral Multiscale Sparse Unmixing for Hyperspectral Images
IEEE Geoscience and Remote Sensing Letters, 2023, 20, pp.1-5. ⟨10.1109/LGRS.2023.3328370⟩
Laureen Coic, Raffaele Vitale, Myriam Moreau, David Rousseau, José Henrique de M Goulart, Nicolas Dobigeon, Cyril Ruckebusch
Assessment of Essential Information in the Fourier Domain to Accelerate Raman Hyperspectral Microimaging
Analytical Chemistry, 2023, 95 (42), pp.15497-15504. ⟨10.1021/acs.analchem.3c01383⟩
A Fast Spatial–Spectral NMF for Hyperspectral Unmixing
IEEE Geoscience and Remote Sensing Letters, 2023, 20, pp.5505305. ⟨10.1109/lgrs.2023.3282218⟩
Nerya Granot, Tzvi Diskin, Nicolas Dobigeon, Ami Wiesel
Probabilistic Simplex Component Analysis by Importance Sampling
IEEE Signal Processing Letters, 2023, 30, pp.683-687. ⟨10.1109/LSP.2023.3282166⟩
Yanna Cruz Cavalcanti, Thomas Oberlin, Vinicius Ferraris, Nicolas Dobigeon, Maria Ribeiro, Clovis Tauber
Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images
Medical Image Analysis, 2023, 84, pp.102689. ⟨10.1016/j.media.2022.102689⟩
Min Zhao, Nicolas Dobigeon, Jie Chen
Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems
IEEE Transactions on Image Processing, 2023, 32, pp.5692-5704. ⟨10.1109/TIP.2023.3321460⟩
Fast Hyperspectral Unmixing Using a Multiscale Sparse Regularization
IEEE Geoscience and Remote Sensing Letters, 2022, 19, pp.1-5. ⟨10.1109/LGRS.2022.3217872⟩
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm
SIAM Review, 2022, 64 (1), pp.3-56. ⟨10.1137/20M1371026⟩
Weighted residual NMF with spatial regularization for hyperspectral unmixing
IEEE Geoscience and Remote Sensing Letters, 2022, 19 (June 2022), ⟨10.1109/LGRS.2022.3182042⟩
Min Zhao, Shuaikai Shi, Jie Chen, Nicolas Dobigeon
A 3D-CNN Framework for Hyperspectral Unmixing with Spectral Variability
IEEE Transactions on Geoscience and Remote Sensing, 2022, pp.1-14. ⟨10.1109/TGRS.2022.3141387⟩
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
Provably robust blind source separation of linear-quadratic near-separable mixtures
SIAM Journal on Imaging Sciences, 2021, 14 (4), pp.1848-1889. ⟨10.1137/20M1382878⟩
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms
Journal of Computational and Graphical Statistics, 2021, 30 (2), pp.335-348. ⟨10.1080/10618600.2020.1826954⟩
Vinicius Ferraris, Nicolas Dobigeon, Marie Chabert
Robust fusion algorithms for unsupervised change detection between multi-band optical images — A comprehensive case study
Information Fusion, 2020, 64, pp.293-317. ⟨10.1016/j.inffus.2020.08.008⟩
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix cofactorization for joint representation learning and supervised classification : application to hyperspectral image analysis
Neurocomputing, 2020, 385, pp.132-147. ⟨10.1016/j.neucom.2019.12.068⟩
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
IEEE Transactions on Geoscience and Remote Sensing, 2020, 58 (7), pp.4915-4927. ⟨10.1109/TGRS.2020.2968541⟩
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability
Remote Sensing, 2020, 12 (14), pp.2326. ⟨10.3390/rs12142326⟩
Etienne Monier, Thomas Oberlin, Nathalie Brun, Xiaoyan Li, Marcel Tencé, Nicolas Dobigeon
Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling
Ultramicroscopy, 2020, 215, pp.112993. ⟨10.1016/j.ultramic.2020.112993⟩
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Émilie Habart, Nicolas Dobigeon
Simulated JWST data sets for multispectral and hyperspectral image fusion
The Astronomical Journal, 2020, 160 (1), pp.0. ⟨10.3847/1538-3881/ab9301⟩
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs – Application to High Dimensional Infrared Astronomical Imaging
IEEE Transactions on Computational Imaging, 2020, 6, pp.1362-1374. ⟨10.1109/TCI.2020.3022825⟩
Shaheera Rashwan, Nicolas Dobigeon, Walaa Sheta, Hassan Hanan
Non-linear unmixing of hyperspectral images using multiple-kernel self-organizing maps
IET Image Processing, 2019, 13 (12), pp.2190-2195. ⟨10.1049/iet-ipr.2018.5094⟩
Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert
Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images
Computer Vision and Image Understanding, 2019, 189, pp.1-15. ⟨10.1016/j.cviu.2019.102817⟩
Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, François Caron
A Bayesian nonparametric model for unsupervised joint segmentation of a collection of images
IEEE Access, 2019, 7, pp.12017-12018. ⟨10.1109/ACCESS.2019.2936541⟩
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Partially Asynchronous Distributed Unmixing of Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (4), pp.2009-2021. ⟨10.1109/TGRS.2018.2870486⟩
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Split-and-augmented Gibbs sampler – Application to large-scale inference problems
IEEE Transactions on Signal Processing, 2019, 67 (6), pp.1648-1661. ⟨10.1109/TSP.2019.2894825⟩
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber
Factor analysis of dynamic PET images: beyond Gaussian noise
IEEE Transactions on Medical Imaging, 2019, 38 (9), pp.2231-2241. ⟨10.1109/TMI.2019.2906828⟩
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity
IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (6), pp.3980-3992. ⟨10.1109/TGRS.2018.2889256⟩
Etienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Maria de Frutos, Nicolas Dobigeon
Reconstruction of partially sampled multi-band images – Application to STEM-EELS Imaging
IEEE Transactions on Computational Imaging, 2018, 4 (4), pp.585-598. ⟨10.1109/TCI.2018.2866961⟩
Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert
Detecting changes between optical images of different spatial and spectral resolutions: a fusion-based approach
IEEE Transactions on Geoscience and Remote Sensing, 2018, 56 (3), pp.1566-1578. ⟨10.1109/TGRS.2017.2765348⟩
Huanfeng Shen, Xiuping Jia, José M. Bioucas-Dias, Nicolas Dobigeon, Yi Cui, Fabio Pacifici
Foreword to the special issue on quality improvements of remote sensing data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (3), pp.687-690. ⟨10.1109/JSTARS.2018.2807998⟩
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images
IEEE Transactions on Computational Imaging, 2018, 4 (1), pp.32-45. ⟨10.1109/TCI.2017.2777484⟩
Shaheera Rashwan, Nicolas Dobigeon
A split-and-merge approach for hyperspectral band selection
IEEE Geoscience and Remote Sensing Letters, 2017, 14 (8), pp.1378-1382. ⟨10.1109/LGRS.2017.2713462⟩
Abderrahim Halimi, José Bioucas Dias, Nicolas Dobigeon, Gerald S. Buller, Stephen Mc Laughlin
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects
IEEE Transactions on Computational Imaging, 2017, vol. 3 (n° 2), pp. 146-159. ⟨10.1109/TCI.2016.2631979⟩
Jordan Frecon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising
IEEE Transactions on Signal Processing, 2017, 65 (19), pp.5215-5224. ⟨10.1109/TSP.2017.2715000⟩
Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert
Robust fusion of multi-band images with different spatial and spectral resolutions for change detection
IEEE Transactions on Computational Imaging, 2017, 3 (2), pp.175-186. ⟨10.1109/TCI.2017.2692645⟩
Clément Elvira, Pierre Chainais, Nicolas Dobigeon
Bayesian anti-sparse coding
IEEE Transactions on Signal Processing, 2016, ⟨10.1109/TSP.2016.2645543⟩
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon Godsill
Multiband Image Fusion Based on Spectral Unmixing
IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (12), pp.7236-7249. ⟨10.1109/TGRS.2016.2598784⟩
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon Godsill
R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation
IEEE Signal Processing Letters, 2016, vol. 23 (n° 11), pp. 1632-1636. ⟨10.1109/LSP.2016.2608858⟩
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Online unmixing of multitemporal hyperspectral images accounting for spectral variability
IEEE Transactions on Image Processing, 2016, vol. 25 (n° 9), pp. 3979-3990. ⟨10.1109/TIP.2016.2579309⟩
Ningning Zhao, Qi Wei, Adrian Basarab, Nicolas Dobigeon, Denis Kouamé, Jean-Yves Tourneret
Fast Single Image Super-Resolution Using a New Analytical Solution for l2–l2 Problems
IEEE Transactions on Image Processing, 2016, vol. 25 (n° 8), pp. 3683-3697. ⟨10.1109/TIP.2016.2567075⟩
Nelly Pustelnik, Herwig Wendt, Patrice Abry, Nicolas Dobigeon
Combining local regularity estimation and total variation optimization for scale-free texture segmentation
IEEE Transactions on Computational Imaging, 2016, 2 (4), pp.468-479. ⟨10.1109/TCI.2016.2594139⟩
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Hyperspectral unmixing with spectral variability using a perturbed linear mixing model
IEEE Transactions on Signal Processing, 2016, 64 (2), pp.525-538. ⟨10.1109/TSP.2015.2486746⟩
Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Mathieu Albinet, Christophe Goldstein, Nadia Karouche
Detection and Correction of Glitches in a Multiplexed Multichannel Data Stream—Application to the MADRAS Instrument
IEEE Transactions on Geoscience and Remote Sensing, 2016, vol. 54 (n° 5), pp. 2803-2811. ⟨10.1109/TGRS.2015.2505902⟩
Cédric Févotte, Nicolas Dobigeon
Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization
IEEE Transactions on Image Processing, 2015, vol. 24 (n° 12), pp. 4810-4819. ⟨10.1109/TIP.2015.2468177⟩
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret
Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
IEEE Transactions on Image Processing, 2015, vol. 24 (n° 11), pp. 4109-4121. ⟨10.1109/TIP.2015.2458572⟩
Laetitia Loncan, Luís Almeida, José M Bioucas-Dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio A. Licciardi, Miguel Simões, Jean-Yves Tourneret, Miguel Angel Veganzones, Gemine Vivone, Qi Wei, Naoto Yokoya
Hyperspectral Pansharpening: A Review
IEEE geoscience and remote sensing magazine, 2015, 3 (3), pp.27-46. ⟨10.1109/MGRS.2015.2440094⟩
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret
Bayesian Fusion of Multi-Band Images
IEEE Journal of Selected Topics in Signal Processing, 2015, vol. 9 (n° 6), pp. 1117-1127. ⟨10.1109/JSTSP.2015.2407855⟩
Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon
Toward fast transform learning
International Journal of Computer Vision, 2015, vol. 114 (n° 2), pp. 195-216. ⟨10.1007/s11263-014-0771-z⟩
Sébastien Combrexelle, Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Stephen Mclaughlin, Patrice Abry
Bayesian Estimation of the Multifractality Parameter for Image Texture Using a Whittle Approximation
IEEE Transactions on Image Processing, 2015, vol. 24 (n° 8), pp. 2540-2551. ⟨10.1109/TIP.2015.2426021⟩
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret
Hyperspectral and multispectral image fusion based on a sparse representation
IEEE Transactions on Geoscience and Remote Sensing, 2015, vol. 53 (n° 7), pp. 3658-3668. ⟨10.1109/TGRS.2014.2381272⟩
Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
Unsupervised unmixing of hyperspectral images accounting for endmember variability
IEEE Transactions on Image Processing, 2015, 24 (12), pp.4904–4917. ⟨10.1109/TIP.2015.2471182⟩
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm
IEEE Transactions on Image Processing, 2014, 23 (6), pp.2663-2675. ⟨10.1109/TIP.2014.2314022⟩
Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin
A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, vol. 7, pp. 1869-1878. ⟨10.1109/JSTARS.2014.2328872⟩
Yoann Altmann, Nicolas Dobigeon, Steve Mclaughlin, Jean-Yves Tourneret
Residual Component Analysis of Hyperspectral Images – Application to Joint Nonlinear Unmixing and Nonlinearity Detection
IEEE Transactions on Image Processing, 2014, vol. 23, pp. 2148-2158. ⟨10.1109/TIP.2014.2312616⟩
Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret
Joint Bayesian estimation of close subspaces from noisy measurements
IEEE Signal Processing Letters, 2014, vol. 21, pp.168-171. ⟨10.1109/LSP.2013.2296138⟩
Se Un Park, Nicolas Dobigeon, Alfred O. Hero
Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM
Signal Processing, 2014, vol. 94, pp. 386-400. ⟨10.1016/j.sigpro.2013.06.013⟩
Nicolas Dobigeon, Jean-Yves Tourneret, Cédric Richard, José Carlos M. Bermudez, Steve Mclaughlin, Alfred O. Hero
Nonlinear unmixing of hyperspectral images: Models and algorithms
IEEE Signal Processing Magazine, 2014, vol. 31, pp. 82-94. ⟨10.1109/MSP.2013.2279274⟩
Marcelo Alejandro Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret
Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models
IEEE Signal Processing Letters, 2014, vol. 21, pp. 47-50. ⟨10.1109/LSP.2013.2290329⟩
Marcelo Alejandro Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret
Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm
In : IEEE Transactions on Image Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 22 N. 6, pp. 2385-2397, June 2013.
URL : http://oatao.univ-toulouse.fr/8943/1/Dobigeon_8943.pdf
BibTeXCécile Bazot, Nicolas Dobigeon, Jean-Yves Tourneret, Aimee K. Zaas, Geoffrey S. Ginsburg, Alfred O. Hero
Unsupervised Bayesian linear unmixing of gene expression microarrays
In : BMC Bioinformatics, BioMed Central, London – UK, Vol. 14 N. 99, (on line), March 2013.
URL : http://www.biomedcentral.com/1471-2105/14/99 – https://oatao.univ-toulouse.fr/9298/
BibTeXYoann Altmann, Nicolas Dobigeon, Stephen Mclaughlin, Jean-Yves Tourneret
Nonlinear spectral unmixing of hyperspectral images using Gaussian processes
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 61 N. 10, pp. 2442-2453, May 2013.
URL : http://oatao.univ-toulouse.fr/8942/1/Dobigeon_8942.pdf
BibTeXYoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model
In : IEEE Transactions on Image Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 22 N. 4, pp. 1267-1276, April 2013.
URL : http://oatao.univ-toulouse.fr/8389/1/Altmann_8389.pdf
BibTeXOlivier Eches, Jon Atli Benediktsson, Nicolas Dobigeon, Jean-Yves Tourneret
Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image
In : IEEE Transactions on Image Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 22 N. 1, pp. 5-16, January 2013.
URL : http://oatao.univ-toulouse.fr/8082/1/Eches_8082.pdf
BibTeXNicolas Dobigeon, Nathalie Brun
Spectral mixture analysis of EELS spectrum-images
In : Ultramicroscopy, Elsevier, Vol. 120, pp. 25-34, September 2012.
URL : http://oatao.univ-toulouse.fr/6241/1/Dobigeon_6241.pdf
BibTeXSe Un Park, Nicolas Dobigeon, Alfred O. Hero
Semi-blind sparse image reconstruction with application to MRFM
In : IEEE Transactions on Image Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 21 N. 9, pp. 3838-3849, September 2012.
URL : http://oatao.univ-toulouse.fr/6278/1/Park_6278.pdf
BibTeXOlivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret
CS decomposition based Bayesian subspace estimation
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 60 N. 8, pp. 4210-4218, August 2012.
URL : http://oatao.univ-toulouse.fr/6173/1/Besson_6173.pdf
BibTeXJosé M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, Paul Gader, Jocelyn Chanussot
Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches
In : IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE : Institute of Electrical and Electronics Engineers, Vol. 5 N. 2, pp. 354-379, April 2012.
URL : http://oatao.univ-toulouse.fr/5704/1/bioucas_5704.pdf
BibTeXMarcelo Alejandro Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret
Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture model
In : IEEE Transactions on Medical Imaging, IEEE : Institute of Electrical and Electronics Engineers, Vol. 31 N. 8, pp. 1509-1520, August 2012.
URL : http://oatao.univ-toulouse.fr/6276/1/Pereyra_6276.pdf
BibTeXGeorg Kail, Jean-Yves Tourneret, Franz Hlawatsch, Nicolas Dobigeon
Blind deconvolution of sparse pulse sequences under a minimum distance constraint: a partially collapsed Gibbs sampler method
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 60 N. 6, pp. 2727-2743, June 2012.
URL : http://oatao.univ-toulouse.fr/5624/1/kail_5624.pdf
BibTeXYoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery
In : IEEE Transactions on Image Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 21 N. 6, pp. 3017-3025, June 2012.
URL : http://oatao.univ-toulouse.fr/5623/1/altmann_5623.pdf
BibTeXRoni Mittelman, Nicolas Dobigeon, Alfred O. Hero
Hyperspectral image unmixing using a multiresolution sticky HDP
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 30 N. 4, pp. 1656-1671, April 2012.
URL : http://oatao.univ-toulouse.fr/5345/1/Mittelman_5345.pdf
BibTeXOlivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret
Minimum mean square distance estimation of a subspace
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 59 N. 12, pp. 5709-5720, December 2011.
URL : http://oatao.univ-toulouse.fr/5070/1/Besson_5070.pdf
BibTeXYongsheng Huang, Aimee K. Zaas, Arvind Rao, Nicolas Dobigeon, Peter J. Woolf, Timothy Veldman, N. Christine Oien, Micah T. Mcclain, Jay B. Varkey, Bradley Nicholson, Lawrence Carin, Stephen Kingsmore, Christopher W. Woods, Geoffrey S. Ginsburg, Alfred O. Hero
Temporal Dynamics of Host Molecular Responses Differentiate Symptomatic and Asymptomatic Influenza A Infection
In : PLoS Genetics, Public Library of Science (PLoS), San Francisco – USA, Vol. 7 N. 8, (on line), August 2011.
Abstract URL : http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002234
BibTeXOlivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
Enhancing hyperspectral image unmixing with spatial correlations
In : IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE : Institute of Electrical and Electronics Engineers, Special issue Hyperspectral Image and Signal Processing, Vol. 49 N. 11, pp. 4239-4247, November 2011.
URL : http://oatao.univ-toulouse.fr/5047/1/Eches_5047.pdf
BibTeXAbderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Nonlinear unmixing of hyperspectral images using a generalized bilinear model
In : IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE : Institute of Electrical and Electronics Engineers, Special issue Hyperspectral Image and Signal Processing, Vol. 49 N. 11, pp. 4153-4162, November 2011.
URL : http://oatao.univ-toulouse.fr/5046/1/Halimi_5046.pdf
BibTeXNicolas Dobigeon, Said Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero
Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d’images hyperspectrales
In : Traitement du Signal, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, Vol. 27, N. 1, pp. 79-108, August 2010.
Frédéric Schmidt, Maël Guiheneuf, Said Moussaoui, Erwan Tréguier, Albrecht Schmidt, Nicolas Dobigeon
Implementation strategies for hyperspectral unmixing using Bayesian source separation
In : IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE : Institute of Electrical and Electronics Engineers, Special issue Spectral Unmixing of Remotely Sensed Data, Vol. 48 N. 11, pp. 4003-4013, November 2010.
URL : http://oatao.univ-toulouse.fr/4287/1/Schmidt_4287.pdf
BibTeXOlivier Eches, Nicolas Dobigeon, Corinne Mailhes, Jean-Yves Tourneret
Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery
In : IEEE Transactions on Image Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 19 N. 6, pp. 1403-1413, June 2010.
URL : http://oatao.univ-toulouse.fr/4089/1/Eches_4089.pdf
BibTeXNicolas Dobigeon, Jean-Yves Tourneret
Bayesian orthogonal component analysis for sparse representation
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 58 N. 5, pp. 2675-2685, May 2010.
URL : http://oatao.univ-toulouse.fr/3792/1/Dobigeon_3792.pdf
BibTeXOlivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm
In : IEEE Journal of Selected Topics in Signal Processing (J-STSP), IEEE : Institute of Electrical and Electronics Engineers, Vol. 3 N. 3, pp. 582-591, June 2010.
URL : http://oatao.univ-toulouse.fr/4090/1/Eches_4090.pdf
BibTeXNicolas Dobigeon, Said Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 57 N. 11, pp. 4355-4368, November 2009.
URL : http://oatao.univ-toulouse.fr/3225/1/Dobigeon_3225.pdf
BibTeXNicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourneret
Hierarchical Bayesian sparse image reconstruction with application to MRFM,
In : IEEE Transactions on Image Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 18 N. 9, pp. 2059-2070, September 2009.
Abstract URL : http://oatao.univ-toulouse.fr/3103/1/dobigeon_3103.pdf
BibTeXNicolas Dobigeon, Said Moussaoui, Jean-Yves Tourneret, Cédric Carteret
Bayesian separation of spectral sources under non-negativity and full additivity constraints
In : Signal Processing, EURASIP, Vol. 89 N. 12, pp. 2657-2669, December 2009.
URL : http://oatao.univ-toulouse.fr/3104/1/Dobigeon_3104.pdf
BibTeXNicolas Dobigeon, Jean-Yves Tourneret, Chein-I Chang
Semi-Supervised Linear Spectral Using a Hierarchical Bayesian Model for Hyperspectral Imagery
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 56 N. 7, pp. 2684-2695, July 2008.
URL : http://oatao.univ-toulouse.fr/803/1/dobigeon_803.pdf
BibTeXNicolas Dobigeon, Jean-Yves Tourneret
Joint Segmentation of Wind Speed and Direction Using a Hierarchical Model
In : Computational Statistics and Data Analysis, Elsevier, Vol. 51 N. 12, pp. 5603-5621, August 2007.
URL : http://oatao.univ-toulouse.fr/870/2/Tourneret_870.pdf
BibTeXNicolas Dobigeon, Jean-Yves Tourneret, Manuel Davy
Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling approach
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 55 N. 5, pp. 1251-1263, April 2007.
URL : http://oatao.univ-toulouse.fr/873/2/Tourneret_873.pdf
BibTeXNicolas Dobigeon, Jean-Yves Tourneret, Jeffrey Scargle
Joint Segmentation of Multivariate Astronomical Time-Series: Bayesian Sampling with a Hierarchical Model
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 55 N. 1, pp. 414-423, January 2007.
URL : http://oatao.univ-toulouse.fr/875/2/Tourneret_875.pdf
BibTeX
Marie-Claude Bal, François Baleux, Carine Calastrenc, Pierre Campmajo, Nicolas Dobigeon, Jordi Inglada, Luc Lapierre, Matthieu Le Bailly, Llubes Muriel, Nicolas Mellado, Hernandez Josu Nabarte, Magalie Phillippe, Poirier Nicolas, Christine Rendu, Claire Marais-Sicre
Mont’Prospect2.0
Journée de restitution Nouvelles frontières de l’archéologie 2024, CNRS – MITI, Jan 2024, Paris, France
Carine Calastrenc, Christine Rendu, Nicolas Poirier, François Baleux, Pierre Campmajo, Nicolas Dobigeon, Nicolas Mellado, Claire Sicre-Marais, Jordi Inglada, Marie-Claude Bal, Magali Philippe, Muriel Llubes, Luc Lapierre
Prospecter les montagnes autrement
Séminaire de laboratoire TRACES, Laboratoire TRACES (UMR 5608) – Toulouse, Oct 2023, Toulouse, France
Marie-Claude Bal, François Baleux, Carine Calastrenc, Pierre Campmajo, Nicolas Dobigeon, Jordi Inglada, Luc Lapierre, Muriel Llubes, Nicolas Mellado, Magali Philippe, Nicolas Poirier, Christine Rendu, Claire Marais-Sicre
Prospecter autrement les montagnes
Séminaire transversal du laboratoire TRACES (2023), Laboratoire TRACES (UMR 5608) : Travaux et Recherches Archéologiques sur les Cultures, les Espaces et les Sociétés, Sep 2023, Toulouse, France
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Méthode MCMC plug-and-play avec a priori génératif profond
XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. pp.173–176
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Informed spatial regularizations for fast fusion of astronomical images
IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France. pp.1-5
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
30th European Symposium on Artificial Neural Networks (ESANN 2022), Oct 2022, Bruges, Belgium. ⟨10.48550/arXiv.2207.05468⟩
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Learning optimal transport between two empirical distributions with normalizing flows
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Sep 2022, Grenoble, France. ⟨10.48550/arXiv.2207.01246⟩
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Approximation du transport optimal entre distributions empiriques par flux de normalisation
XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France
Mame Diarra Fall, Nicolas Dobigeon, Pascal Auzou
A Bayesian estimation formulation to voxel-based lesion-symptom mapping
30th European Signal Processing Conference (EUSIPCO 2022), European Association for Signal Processing (EURASIP), Aug 2022, Belgrade, Serbia
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures (EUSIPCO 2020)
28th European Signal Processing Conference (EUSIPCO 2020), EURASIP : European Association for Signal Processing, Jan 2021, Amsterdam (virtual), Netherlands. pp.1951-1955, ⟨10.23919/Eusipco47968.2020.9287788⟩
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures (iTWIST 2020)
International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST 2020), Dec 2020, Nantes (virtual), France
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Fusion of hyperspectral and multispectral infrared astronomical images
11th IEEE Workshop on Sensor Array and Multichannel Signal Processing (SAM 2020), IEEE, Jun 2020, Hangzhou, China. pp.1-5, ⟨10.1109/SAM48682.2020.9104393⟩
Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert
Unsupervised change detection for multimodal remote sensing images via coupled dictionary learning and sparse coding
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020, Barcelona, Spain. pp.4627-4631
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images
27th European Signal Processing Conference (EUSIPCO 2019), Sep 2019, A Coruna, Spain. pp.1-5
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Modèles augmentés asymptotiquement exacts
27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Fusion d’images multispectrales et hyperspectrales pour l’observation en astronomie infrarouge
27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Cofactorisation de matrices pour le démélange et la classification conjoints d’images hyperspectrales (GRETSI 2019)
27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Un modèles augmenté asymptotiquement exact pour la restauration bayésienne d’images dégradées par un bruit de Poisson
27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Cofactorisation de matrices pour le démélange et la classification conjoints d’images hyperspectrales (SFPT-GH 2019)
7e Colloque du groupe SFPT-GH : Groupe Hyperspectral de la Société Française de Photogrammétrie et de Télédétection (SFPT-GH 2019), Jul 2019, Toulouse, France. pp.1
Etienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon
Reconstruction de spectres-images STEM-EELS partiellement échantillonnés
16e Colloque de la Société Française des Microscopies (SFU 2019), Jul 2019, Poitiers, France. pp.74-75
Etienne Monier, Thomas Oberlin, Nathalie Brun, Nicolas Dobigeon
Reconstruction of partially sampled STEM-EELS images with atomic resolution
Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Nicolas Dobigeon, Toulouse INP, France; Cédric Févotte, CNRS, France, Jul 2019, Toulouse, France
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Clovis Tauber
Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), May 2019, Brighton, United Kingdom. pp.1373-1377
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models
ICASSP 2019 – 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), May 2019, Brighton, United Kingdom. pp.5037-5041, ⟨10.1109/ICASSP.2019.8682982⟩
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Bayesian Image Restoration under Poisson Noise and Log-concave Prior
ICASSP 2019 – 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.1712-1716, ⟨10.1109/ICASSP.2019.8683031⟩
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
On variable splitting for Markov chain Monte Carlo
Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.1-2
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Fusion of hyperspectral and multispectral infrared astronomical images (SPARS 2019)
Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.0
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
A multiple endmember mixing model to handle spectral variability
9th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Sep 2018, Amsterdam, Netherlands. pp.1
Etienne Monier, Thomas Oberlin, Nathalie Brun, Maria de Frutos, Marcel Tencé, Nicolas Dobigeon
Reconstruction of partially sampled EELS images
9th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Sep 2018, Amsterdam, Netherlands. ⟨10.1109/WHISPERS.2018.8747104⟩
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Sparse Bayesian binary logistic regression using the split-and-augmented Gibbs sampler
IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2018), Sep 2018, Aalborg, Denmark. pp.1-6
Vinicius Ferraris, Naoto Yokoya, Nicolas Dobigeon, Marie Chabert
A comparative study of fusion-based change detection methods for multi-band images with different spectral and spatial resolutions
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valencia, Spain. pp.5021-5024
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
LiDAR-driven spatial regularization for hyperspectral unmixing
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valencia, Spain. pp.1740-1743
Mathieu Fauvel, Rémi Duflot, Tatsumi Uezato, Nicolas Dobigeon, Aude Vialatte, David Sheeren, Magali San Cristobal, Goulard Michel
Prédiction des services écosystémiques dans les paysages agricoles par télédétection hyperspectrale
6. Colloque de la Société Française de Photogrammétrie et Télédétection – Groupe Hyperspectrale (SFPT-GH), May 2018, Montpellier, France
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
A Bayesian model for joint unmixing and robust classification of hyperspectral image
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Canada. pp.3399-3404
Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert
Détection de changements par fusion robuste d’images multi-bandes de résolutions spatiale et spectrale différentes
26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4
Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
Sélection du paramètre de régularisation dans le problème l2-Potts
26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4
Clément Elvira, Pierre Chainais, Nicolas Dobigeon
Une formulation bayésienne du codage antiparcimonieux
GRETSI, Sep 2017, Juan-les-Pins, France
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Une approche distribuée asynchrone pour la factorisation en matrices non-négatives – Application au démélange hyperspectral
26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4
Etienne Monier, Thomas Oberlin, Nathalie Brun, Nicolas Dobigeon
Reconstruction de spectres-images partiellement échantillonnés en microscopie EELS
26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Clovis Tauber
Démélange d’images TEP dynamiques
26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Un modèle bayésien pour le démélange, la segmentation et la classification robuste d’images hyperspectrales
26. Colloque GRETSI 2017, Sep 2017, Juan-Les-Pins, France
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations
25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. pp. 1-5
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Clovis Tauber
Unmixing dynamic PET images with a PALM algorithm
25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. pp. 1-5
Etienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Nicolas Dobigeon
Reconstruction of randomly and partially sampled STEM spectrum-images
Microscopy and Microanalysis Meeting (M&M 2017), Aug 2017, Saint-Louis, Missouri, United States. pp.170-171
Mathieu Fauvel, Tatsumi Uezato, Rémi Duflot, Nicolas Dobigeon, Aude Vialatte, David Sheeren
Ecosystem services assessment using hyperspectral images
5. Colloque de la Société Française de Photogrammétrie et Télédétection – Groupe Hyperspectrale (SFPT-GH), May 2017, Brest, France
Adrien Lagrange, Nicolas Dobigeon, Mathieu Fauvel, Stéphane May
A Bayesian model for joint unmixing, clustering and classification of hyperspectral data
Séminaire des doctorants, Apr 2017, Toulouse, France. pp. 1-28
Abderrahim Halimi, José Bioucas Dias, Nicolas Dobigeon, Gerald S. Buller, Stephen Mc Laughlin
Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities
42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 3111-3115
Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert
Change detection between multi-band images using a robust fusion-based approach
42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 3346-3350
Clément Elvira, Nicolas Dobigeon, Pierre Chainais
Bayesian Nonparametric Subspace Estimation
ICASSP 2017 – IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States. ⟨10.1109/ICASSP.2017.7952556⟩
Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, Jean-François Giovannelli
A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2017, La Nouvelle Orléans, LA, United States. pp.1882-1886, ⟨10.1109/ICASSP.2017.7952483⟩
Jordan Frecon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
Bayesian-driven criterion to automatically select the regularization parameter in the l1-Potts model
42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 1
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Simon Godsill
Blind model-based fusion of multi-band and panchromatic images
IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Sep 2016, Baden-Baden, Germany. pp. 21-25
Qi Wei, Simon Godsill, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret
High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing
19th International Conference on Information Fusion (FUSION 2016), Jul 2016, Heidelberg, Germany. pp. 1714-1719
Clément Elvira, Pierre Chainais, Nicolas Dobigeon
Democratic prior for anti-sparse coding
IEEE Workshop on statistical signal processing (SSP 2016), Jun 2016, Palma de Mallorca, Spain. pp. 1-5
Jessica Sodjo, Audrey Giremus, François Caron, Jean-François Giovannelli, Nicolas Dobigeon
Joint segmentation of multiple images with shared classes: a Bayesian nonparametrics approach
IEEE Workshop on statistical signal processing (SSP 2016), Jun 2016, Palma de Mallorca, Spain. pp.1-5, ⟨10.1109/SSP.2016.7551735⟩
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Unmixing multitemporal hyperspectral images with variability: an online algorithm
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Mar 2016, Shangai, China. pp. 3351-3355
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret
FUSE: a fast multi-band image fusion algorithm
6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015), Dec 2015, Cancun, Mexico. pp. 161-164
Sébastien Combrexelle, Herwig Wendt, Jean-Yves Tourneret, Nicolas Dobigeon, Stephen Mc Laughlin, Patrice Abry
Estimation bayésienne locale du paramètre de multifractalité à l’aide d’un algorithme de Monte Carlo Hamiltonien
25eme Colloque Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2015), Sep 2015, Lyon, France. pp. 1-5
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Estimation de variabilité pour le démélange non-supervisé d’images hyperspectrales
25eme Colloque Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2015), Sep 2015, Lyon, France. pp. 1-4
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
A perturbed linear mixing model accounting for spectral variability
23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 814-818
Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Stephen Mclaughlin, Paul Honeine
Unmixing multitemporal hyperspectral images accounting for endmember variability
23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 1686-1690
Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine
Hyperspectral unmixing accounting for spatial correlations and endmember variability
7th IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2015), Jun 2015, Tokyo, Japan. pp. 1-4
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret
Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method
IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2015), Jun 2015, Tokyo, Japan. pp. 1-5
Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine
A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability
ICASSP 2015, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2015, Brisbane, Australia. pp.2469-2473, ⟨10.1109/ICASSP.2015.7178415⟩
Sébastien Combrexelle, Herwig Wendt, Patrice Abry, Nicolas Dobigeon, Stephen Mc Laughlin, Jean-Yves Tourneret
A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation
40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Apr 2015, Brisbane, Australia. pp.3886-3890, ⟨10.1109/ICASSP.2015.7178699⟩
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret
Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response
IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. pp. 698-702
Nelly Pustelnik, Patrice Abry, Herwig Wendt, Nicolas Dobigeon
Inverse problem formulation for regularity estimation in images
International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. pp. 6081-6085
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret
Fusion of multispectral and hyperspectral images based on sparse representation
22nd European Signal and Image Processing Conference (EUSIPCO 2014), Sep 2014, Lisbon, Portugal. pp. 1577-1581
Jordan Frecon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
Hybrid Bayesian Variational Scheme to Handle Parameter Selection in Total Variation Signal Denoising
22nd European Signal and Image Processing Conference (EUSIPCO 2014), Sep 2014, Lisbonne, Portugal. pp.1716-1720
Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon
Learning a fast transform with a dictionary
iTwist, Aug 2014, Namur, Belgium. pp.10-12
Yoann Altmann, Steve Mclaughlin, Nicolas Dobigeon
Sampling from a multivariate gaussian distribution truncated on a simplex: a review
IEEE Workshop on Statistical Signal Processing (SSP 2014), IEEE, Jun 2014, Gold Coast, Australia. pp.113-116, ⟨10.1109/SSP.2014.6884588⟩
Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin
Nonlinear unmixing of vegetated areas: a model comparison based on simulated and real hyperspectral data
IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing – WHISPERS 2014, Jun 2014, Lausanne, Switzerland. pp. 1-4
Jie Chen, Nicolas Dobigeon, Abderrahim Halimi, Paul Honeiné, Cédric Richard, Jean-Yves Tourneret
Démélange non-linéaire d’images hyperspectrales : mythe ou réalité ?
3ème colloque scientifique de la SFPT-GH – 2014, May 2014, Porquerolles, France
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret
Bayesian fusion of hyperspectral and multispectral images
IEEE International Conference on Acoustics, Speech, and Signal Processing – ICASSP 2014, May 2014, Florence, Italy. pp. 3176-3180
Lotfi Chaari, Hadj Batatia, Nicolas Dobigeon, Jean-Yves Tourneret
A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization
IEEE International Conference on Acoustics, Speech, and Signal Processing – ICASSP 2014, May 2014, Florence, Italy. pp. 1901-1905
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model (regular paper)
In : European Signal and Image Processing Conference (EUSIPCO 2013), Marrakech, Marroco, 09/09/13-13/09/13, EURASIP, (electronic medium), September 2013.
Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Patrice Abry
Estimation bayésienne du paramètre de multifractalité (regular paper)
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2013), Brest, France, 02/09/13-06/09/13, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2013.
Nicolas Dobigeon, Cédric Févotte
Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2013), Gainesville, FL, 25/06/13-28/06/13, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), June 2013.
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Stephen Mclaughlin
Nonlinear hyperspectral unmixing using Gaussian processes (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2013), Gainesville, FL, 25/06/13-28/06/13, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), June 2013 (Best Paper Award).
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, José Bermudez
A robust test for nonlinear mixture detection in hyperspectral images (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada, 26/05/13-30/05/13, IEEE : Institute of Electrical and Electronics Engineers, pp. 2149-2153, June 2013.
Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Patrice Abry
Bayesian estimation for the multifractality parameter (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada, 26/05/13-31/05/13, IEEE : Institute of Electrical and Electronics Engineers, pp. 6556-6560, May 2013.
Bayesian linear unmixing for spectral mixture analysis
In : International PICS 2012 Workshop on “Chemometrics in time-resolved and imaging spectroscopy – Instrumental measurements and data analysis”, Lille, France, 03/12/12-04/12/12 (invited speaker).
Cécile Bazot, Nicolas Dobigeon, Jean-Yves Tourneret, Alfred O. Hero
Bayesian analysis of time-evolving gene expression data with hidden Markov model (regular paper)
In : European Signal and Image Processing Conference (EUSIPCO 2012), Bucharest, Romania, 27/08/12-31/08/12, IEEE : Institute of Electrical and Electronics Engineers, pp. 944-948, August 2012.
Nicolas Dobigeon, Adrian Basarab, Denis Kouamé, Jean-Yves Tourneret
Regularized Bayesian compressed sensing in ultrasound imaging (regular paper)
In : European Signal and Image Processing Conference (EUSIPCO 2012), Bucharest, Romania, 27/08/12-31/08/12, EURASIP, pp. 2600-2604, August 2012.
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Detecting nonlinear mixtures in hyperspectral images (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2012), Shangai, China, 04/06/12-07/06/12 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), June 2012.
Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret
Bayesian subspace estimation using CS decomposition (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, 25/03/12-30/03/12, IEEE : Institute of Electrical and Electronics Engineers, pp. 2437-2440, March 2012.
Yoann Altmann, Nicolas Dobigeon, Stephen Mclaughlin, Jean-Yves Tourneret
Nonlinear unmixing of hyperspectral images using Gaussian processes (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, 25/03/12-30/03/12, IEEE : Institute of Electrical and Electronics Engineers, pp. 1249-1252, March 2012.
Frédéric Schmidt, Sébastien Bourguignon, Stéphane Le Mouelic, Nicolas Dobigeon, Erwan Tréguier
Constraining Martian mineralogical compositions using hyperspectral images (regular paper)
In : Lunar and Planetary Science Conference (LPSC 2012), The Woodlands, Texas, 19/03/12-23/03/12, Vol. 43, Lunar and Planetary Institute, (electronic medium), March 2012.
Se Un Park, Nicolas Dobigeon, Alfred O. Hero
Variational semi-blind sparse image reconstruction with application to MRFM (regular paper)
In : SPIE-IS&T Electronic Imaging, San Francisco, CA, 22/01/12-26/01/12, Vol. 8296, Charles A. Bouman, Ilya Pollak, Patrick J. Wolfe (Eds.), Society of Photo-Optical Instrumentation Engineers (SPIE), (electronic medium), January 2012.
Zacharie Irace, Marcelo Alejandro Pereyra, Nicolas Dobigeon, Hadj Batatia
Un modèle Bayésien de mélange de lois Poisson-Gamma pour segmenter des images TEP (regular paper)
In : Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2012), Lyon, France, 24/01/12-27/01/12, AFRIF-AFIA, (on line), January 2012.
URL : http://hal.archives-ouvertes.fr/docs/00/65/65/45/PDF/rfia2012_submission_51.pdf
BibTeXMCMC algorithms for spectral unmixing
In : Atelier “Astrostatistique en France”, Grenoble, France, 08/12/11-09/12/11 (invited speaker).
Erwan Tréguier, Frédéric Schmidt, Stéphane Erard, Alejandro Cardesin, Patrick Martin, Patrick Pinet, Said Moussaoui, Nicolas Dobigeon
Investigation of a small set of hyperspectral images through non-negative source separation (regular paper)
In : European Planetary Science Congress (EuroPlanet 2011), Nantes, France, 02/10/11-07/10/11, EuroPlanet, (electronic medium), October 2011.
Frédéric Schmidt, Sébastien Bourguignon, Stéphane Le Mouelic, Nicolas Dobigeon, Céline Theys, Erwan Tréguier
Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express (regular paper)
In : European Planetary Science Congress (EuroPlanet 2011), Nantes, France, 02/10/11-07/10/11, EuroPlanet, (electronic medium), October 2011.
Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret
Bayesian estimation of a subspace (regular paper)
In : IEEE Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2011), Pacific Grove, CA, 06/11/11-09/11/11, IEEE : Institute of Electrical and Electronics Engineers, pp. 629-633, November 2011.
Céline Quinsac, Nicolas Dobigeon, Adrian Basarab, Denis Kouamé, Jean-Yves Tourneret
Bayesian compressed sensing in ultrasound imaging (regular paper)
In : IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2011), Puerto Rico, 13/12/11-16/12/11 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, pp. 101-104, December 2011.
Marcelo Alejandro Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret
Un modèle de mélange de lois Rayleigh généralisées pour la classification des échographies cutanées (regular paper)
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2011), Bordeaux, France, 05/09/11-08/09/11, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2011.
Yoann Altmann, Nicolas Dobigeon, Stephen Mclaughlin, Jean-Yves Tourneret
Démélange non linéaire d’images hyperspectrales à l’aide de fonctions radiales de base et de moindres carrés orthogonaux (regular paper)
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2011), Bordeaux, France, 05/09/11-08/09/11, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2011.
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret, Hichem Snoussi
Méthodes variationnelles pour le démélange d’images hyperspectrales (regular paper)
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2011), Bordeaux, France, 05/09/11-08/09/11, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2011.
Cécile Bazot, Nicolas Dobigeon, Alfred O. Hero
Modèle Bernoulli-Gaussien pour l’analyse génétique (regular paper)
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2011), Bordeaux, France, 05/09/11-08/09/11, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2011.
Marcelo Alejandro Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret
Segmentation of high frequency ultrasound images using a spatially coherent generalized Rayleigh mixture model (regular paper)
In : European Signal and Image Processing Conference (EUSIPCO 2011), Barcelona, Spain, 29/08/11-02/09/11 (invited speaker), EURASIP, pp. 664-668, September 2011.
Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Unmixing hyperspectral images using the generalized bilinear model (regular paper)
In : IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2011), Vancouver, Canada, 25/07/11-29/07/11, IEEE : Institute of Electrical and Electronics Engineers, pp. 1886-1889, July 2011.
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
A polynomial post nonlinear model for hyperspectral image unmixing (regular paper)
In : IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2011), Vancouver, Canada, 25/07/11-29/07/11, IEEE : Institute of Electrical and Electronics Engineers, pp. 1882-1885, July 2011.
Yoann Altmann, Nicolas Dobigeon, Stephen Mclaughlin, Jean-Yves Tourneret
Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares (regular paper)
In : IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2011), Vancouver, Canada, 25/07/11-29/07/11 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, pp. 1151-1154, July 2011.
Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Nonlinear unmixing of hyperspectral images using a generalized bilinear model (regular paper)
In : IEEE Workshop on Statistical Signal Processing (SSP 2011), Nice, France, 28/06/11-30/06/11, IEEE : Institute of Electrical and Electronics Engineers, pp. 413-416, June 2011.
Zacharie Irace, Marcelo Alejandro Pereyra, Nicolas Dobigeon, Hadj Batatia
Bayesian segmentation of chest tumors in PET Scans using a Poisson-Gamma mixture model (regular paper)
In : IEEE Workshop on Statistical Signal Processing (SSP 2011), Nice, France, 28/06/11-30/06/11, IEEE : Institute of Electrical and Electronics Engineers, pp. 809-812, June 2011.
Frédéric Schmidt, Sébastien Bourguignon, Stéphane Le Mouelic, Nicolas Dobigeon, Céline Theys, Erwan Tréguier
Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2011), Lisbon, Portugal, 06/06/11-09/06/11, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), June 2011.
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
Bilinear models for nonlinear unmixing of hyperspectral images (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2011), Lisbon, Portugal, 06/06/11-09/06/11 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), June 2011.
Olivier Eches, Jon Atli Benediktsson, Nicolas Dobigeon, Jean-Yves Tourneret
Joint spectral classification and unmixing using adaptative pixel neighborhoods (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2011), Lisbon, Portugal, 06/06/11-09/06/11, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), June 2011.
Céline Quinsac, Nicolas Dobigeon, Adrian Basarab, Jean-Yves Tourneret, Denis Kouamé
Echantillonnage compressé Bayésien en imagerie ultrasonore (regular paper)
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2011), Bordeaux, France, 05/09/11-08/09/11, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), 2011.
Albrecht Schmidt, Erwan Tréguier, Frédéric Schmidt, Said Moussaoui, Nicolas Dobigeon
Non-negative matrix factorisation in context (regular paper)
In : European Geosciences Union General Assembly, Vienna, Austria, 03/04/11-08/04/11, Vol. 13, European Geosciences Union (EGU), (electronic medium), April 2011.
Erwan Tréguier, Albrecht Schmidt, Frédéric Schmidt, Alejandro Cardesin, Stéphane Erard, Patrick Martin, Patrick Pinet, Said Moussaoui, Nicolas Dobigeon
Analysis of a collection of planetary hyperspectral images through non-negative source separation (regular paper)
In : European Geosciences Union General Assembly, Vienna, Austria, 03/04/11-08/04/11, Vol. 13, European Geosciences Union (EGU), (electronic medium), April 2011.
Marcelo Alejandro Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret
Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech Republic, 22/05/11-27/05/11, IEEE : Institute of Electrical and Electronics Engineers, pp. 729-732, May 2011.
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret, Hichem Snoussi
Variational methods for spectral unmixing of hyperspectral unmixing (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech Republic, 22/05/11-27/05/11, IEEE : Institute of Electrical and Electronics Engineers, pp. 957-960, May 2011.
Cécile Bazot, Nicolas Dobigeon, Jean-Yves Tourneret, Alfred O. Hero
Bernoulli-Gaussian model for gene expression analysis (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech Republic, 22/05/11-27/05/11 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, pp. 5996-5999, May 2011.
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech Republic, 22/05/11-27/05/11, IEEE : Institute of Electrical and Electronics Engineers, pp. 1009-1012, May 2011.
Se Un Park, Nicolas Dobigeon, Alfred O. Hero
Myopic reconstruction and its application to MRFM data (regular paper)
In : SPIE-IS&T Electronic Imaging, San Francisco, CA, USA, 23/01/11-27/01/11, Vol. 7873, Society of Photo-Optical Instrumentation Engineers (SPIE), pp. 1-14, January 2011.
Albrecht Schmidt, Erwan Tréguier, Frédéric Schmidt, Maël Guiheneuf, Said Moussaoui, Nicolas Dobigeon, Camille Pelloquin
Multi-image unsupervised spectral analysis (regular paper)
In : European Planetary Science Congress (EuroPlanet 2010), Rome, Italy, 19/09/10-25/09/10, EuroPlanet, (electronic medium), September 2010.
Cécile Bazot, Nicolas Dobigeon, Jean-Yves Tourneret, Alfred O. Hero
Unsupervised Bayesian analysis of gene expression patterns (regular paper)
In : IEEE Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2010), Pacific Grove, CA, 07/11/10-10/11/10 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, pp. 364-368, November 2010.
Erwan Tréguier, Frédéric Schmidt, Albrecht Schmidt, Said Moussaoui, Nicolas Dobigeon, Stéphane Erard, Alejandro Cardesin, Patrick Pinet, Patrick Martin
Investigating Martian and Venusian hyperspectral datasets through Positive Source Separation (poster)
In : American Geophysical Union Fall Meeting, San Francisco, CA, 13/12/10-17/12/10, American Geophysical Union (AGU), (electronic medium), December 2010.
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
Unmixing hyperspectral images using Markov random fields (regular paper)
In : International Workshop on Bayesian Inference and Maximun Entropy (MaxEnt 2010), Chamonix, France, 04/07/10-09/07/10 (invited speaker), Vol. 1305, Ali Mohammad-Djafari, Jean-François Bercher, Pierre Bessière (Eds.), American Institute of Physics, AIP Conf. Proc. 1, pp. 303-310, July 2010.
Frédéric Schmidt, Albrecht Schmidt, Erwan Tréguier, Said Moussaoui, Nicolas Dobigeon
Accuracy and performance of optimized Bayesian source separation for hyperspectral unmixing (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2010), Reykjavík, Iceland, 14/06/10-16/06/10, IEEE : Institute of Electrical and Electronics Engineers, pp. 1-4, June 2010.
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
Markov random fields for joint unmixing and segmentation of hyperspectral images (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2010), Reykjavík, Iceland, 14/06/10-16/06/10 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, pp. 1-4, June 2010.
Albrecht Schmidt, Frédéric Schmidt, Erwan Tréguier, Said Moussaoui, Nicolas Dobigeon
Matrix Approximation Techniques for Unsupervised Hyperspectral Data Analysis (regular paper)
In : European Geosciences Union General Assembly, Vienna, Austria, 02/05/10-07/05/10, Vol. 12, European Geosciences Union (EGU), (electronic medium), May 2010.
Erwan Tréguier, Frédéric Schmidt, Albrecht Schmidt, Maël Guiheneuf, Said Moussaoui, Nicolas Dobigeon, Patrick Martin
Applying new spectral unmixing technique to Martian hyperspectral data (regular paper)
In : European Geosciences Union General Assembly, Vienna, Austria, 02/05/10-07/05/10, European Geosciences Union (EGU), (electronic medium), May 2010.
Georg Kail, Jean-Yves Tourneret, Franz Hlawatsch, Nicolas Dobigeon
A partially collapsed Gibbs sampler for parameters with local constraints (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, USA, 14/03/10-19/03/10, IEEE : Institute of Electrical and Electronics Engineers, pp. 3886-3889, March 2010.
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
A reversible-jump MCMC algorithm for estimating the number of endmembers in the normal compositional model. Application to the unmixing of hyperspectral images (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, USA, 14/03/10-19/03/10, IEEE : Institute of Electrical and Electronics Engineers, pp. 1222-1225, March 2010.
Nicolas Dobigeon, Said Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero
Subspace-based Bayesian blind source separation for hyperspectral imagery (regular paper)
In : IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2009), Aruba, Dutch Antilles, 13/12/09-16/12/09 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, pp. 372-375, December 2009.
Frédéric Schmidt, Said Moussaoui, Nicolas Dobigeon
Material identification on hyperspectral images using Bayesian source separation (regular paper)
In : European Planetary Science Congress (EuroPlanet 2009), Potsdam, Germany, 13/09/09-18/09/09, Vol. 4, EuroPlanet, (electronic medium), September 2009.
Erwan Tréguier, Frédéric Schmidt, Patrick Pinet, Claude d’Uston, Patrick Martin, Said Moussaoui, Nicolas Dobigeon
Multivariate approach for evaluating the composition of Meridiani spherules (regular paper)
In : European Planetary Science Congress (EuroPlanet 2009), Potsdam, Germany, 13/09/09-18/09/09, Vol. 4, EuroPlanet, (electronic medium), September 2009.
Olivier Eches, Nicolas Dobigeon, Corinne Mailhes, Jean-Yves Tourneret
Unmixing hyperspectral images using a normal compositional model and MCMC methods (regular paper)
In : IEEE Workshop on Statistical Signal Processing (SSP 2009), Cardiff, Wales, UK, 31/08/09-03/09/09, IEEE : Institute of Electrical and Electronics Engineers, pp. 646-649, August 2009.
Céline Theys, Nicolas Dobigeon, Jean-Yves Tourneret, Henri Lantéri
Linear unmixing of hyperspectral images using a scaled gradient method (regular paper)
In : IEEE Workshop on Statistical Signal Processing (SSP 2009), Cardiff, Wales, UK, 31/08/09-03/09/09, IEEE : Institute of Electrical and Electronics Engineers, pp. 729-732, August 2009.
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourneret
Reconstruction bayésienne images MRFM parcimonieuses (regular paper)
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2009), Dijon, 08/09/09-11/09/09, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2009.
Nicolas Dobigeon, Said Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero
Extraction de composants purs et démélange linéaire bayésiens en imagerie hyperspectrale (regular paper)
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2009), Dijon, 08/09/09-11/09/09, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2009.
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
Analyse d’images hyperspectrales à l’aide d’un modèle de mélange de spectres aléatoires (regular paper)
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2009), Dijon, 08/09/09-11/09/09, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2009.
Frédéric Schmidt, Said Moussaoui, Nicolas Dobigeon
Material identification on Martian hyperspectral images using Bayesian source separation (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2009), Grenoble, France, 26/08/09-28/08/09, IEEE : Institute of Electrical and Electronics Engineers, pp. 1-4, August 2009.
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
NCM-based Bayesian algorithm for hyperspectral unmixing (regular paper)
In : IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2009), Grenoble, France, 26/08/09-28/08/09, IEEE : Institute of Electrical and Electronics Engineers, pp. 1-4, August 2009.
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourneret
Bayesian sparse image reconstruction for MRFM
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), Taipei, ROC, 19/04/09-24/04/09, IEEE : Institute of Electrical and Electronics Engineers, pp. 2933-2936, April 2009.
Nicolas Dobigeon, Jean-Yves Tourneret
MCMC sampling for joint segmentation of wind speed and direction
In : IEEE Digital Signal Processing Workshop (DSP 2009), Marco Island, USA, 04/01/09-07/01/09 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, pp. 250-255, January 2009.
Nicolas Dobigeon, Jean-Yves Tourneret
Library-based linear unmixing for hyperspectral imagery via reversible jump MCMC sampling (regular paper)
In : IEEE Aerospace Conference (AeroConf 2009), Big Sky (USA), 07/03/09-14/03/09 (invited speaker), IEEE : Institute of Electrical and Electronics Engineers, pp. 1-6, March 2009.
Nicolas Dobigeon, Jean-Yves Tourneret
Joint segmentation of wind speed and direction using a hierarchical model
In : Workshop on change-point detection methods and applications, AgroParisTech, Paris, France, 11/09/08-12/09/08 (invited speaker).
Alfred O. Hero, Nicolas Dobigeon, Kyle Herrity
Sparsity constrained image reconstruction for MRFM
In : ARO MURI MRFM Program Progress Review, Cornell University, Ithaca, USA, 09/07/08-11/07/08.
Nicolas Dobigeon, Jean-Yves Tourneret, Alfred O. Hero
Bayesian Linear Unmixing of Hyperspectral Images Corrupted by Colored Gaussian Noise with Unknown Covariance Matrix
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), Las-Vegas, Nevada, USA, 30/03/08-04/04/08, IEEE : Institute of Electrical and Electronics Engineers, pp. 3433-3436, April 2008.
Nicolas Dobigeon, Jean-Yves Tourneret, Said Moussaoui
Séparation Bayésienne de sources spectrales sous contraintes de positivité et d’additivité
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2007), Troyes, 11/09/07-14/09/07, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2007.
Nicolas Dobigeon, Jean-Yves Tourneret, Said Moussaoui
Blind Unmixing of Linear Mixtures using a Hierarchical Bayesian Model. Application to Spectroscopic Signal Analysis
In : IEEE Workshop on Statistical Signal Processing (SSP 2007), Madison, 16/08/07-19/08/07, IEEE : Institute of Electrical and Electronics Engineers, pp. 79-83, August 2007.
Nicolas Dobigeon, Jean-Yves Tourneret
Spectral unmixing of hyperspectral images using a hierarchical bayesian model (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007), Hawaii, USA, 15/04/07-20/04/07, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), April 2007 (Student Paper Contest Finalist).
Nicolas Dobigeon, Jean-Yves Tourneret, Manuel Davy
Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling approach
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), Toulouse, 15/05/06-19/05/06, IEEE : Institute of Electrical and Electronics Engineers, pp. 1-4, May 2006.
Nicolas Dobigeon, Jean-Yves Tourneret, Jeffrey Scargle
Joint segmentation of multivariate Poissonian time series. Application to Burst and Transient Source Experiments
In : European Signal and Image Processing Conference (EUSIPCO 2006), Florence, 04/09/06-08/09/06, EURASIP, (electronic medium), 2006.
Nicolas Dobigeon, Véronique Achard
Performance comparison of geometric and statistical methods for endmembers extraction in hyperspectral imagery
In : Image and Signal Processing for Remote Sensing XI, Bruges, Belgique, 20/09/05-22/09/05, Vol. 5982, Lorenzo Bruzzone (Eds.), Society of Photo-Optical Instrumentation Engineers (SPIE), pp. 335-344, October 2005.
Segmentation Conjointe de Données Astrophysiques
In : Colloque de l’Ecole Doctorale Informatique et Télécommunications (EDIT), Toulouse, France, 11/04/05-12/04/05.
Nicolas Dobigeon, Jean-Yves Tourneret
Segmentation conjointe de données poissonniennes
In : Colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2005), Louvain la Neuve, 06/09/05-09/09/05, Vol. 1, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, (electronic medium), September 2005.
Nicolas Dobigeon, Jean-Yves Tourneret, Jeffrey Scargle
Changepoint Detection in Astronomical Data by using a Hierarchical Model and a Bayesian Sampling Approach
In : Workshop on Statistical Signal Processing (SSP), Bordeaux, France, 17/07/05-20/07/05, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), July 2005.
Saïd Moussaoui, Leonardo Tomazeli Duarte, Nicolas Dobigeon, Christian Jutten
Bayesian source separation
Christian Jutten; Leonardo Tomazeli Duarte; Said Moussaoui. Source Separation in Physical‐Chemical Sensing, Chapter 4, Wiley, pp.151-199, 2023, Print ISBN:9781119137221 |Online ISBN:9781119137252. ⟨10.1002/9781119137252.ch4⟩
Carine Calastrenc, François Baleux, Nicolas Poirier, Christine Rendu, Pierre Campmajo, Nicolas Dobigeon, Nicolas Mellado, Claire Marais-Sicre, Marie-Claude Bal, Magali Philippe, Muriel Llubes
Inspecter les montagne autrement
Bertoncello Frédérique; Ouriachi Marie-Jeanne; Nuninger Laure; Favory François. Dynamiques des peuplements, des territoires et des paysages : Bilan et perspectives en archéologie spatiale, hommages à Jean-Luc Fiches – Settlement, territory and landscape dynamics: Assessment and prospects in spatial archaeology, tribute to Jean-Luc Fiches – Actes des 42es rencontres internationales d’archéologie et d’histoire – Nice Côte d’Azur des 12-14 octobre 2022, sous la direction de Frédérique Bertoncello, Marie-Jeanne Ouriachi, Laure Nuninger, François Favory, CEPAM – UMR 7264 – Université Côte d’Azur – CNRS, 2023, Actes des Rencontres Internationales d’Archéologie et d’Histoire et d’Antibes, 2-904110-65-8
Michel Devy, Frédéric Lerasle, Nicolas Dobigeon, Cédric Févotte
Perception et apprentissage de représentations
Intelligence artificielle – Regards croisés de chercheur·es, 44, La Dépêche; CNRS, pp.12-15, 2020, Le Petit Illustré
Nicolas Dobigeon, Yoann Altmann, Nathalie Brun, Saïd Moussaoui
Linear and nonlinear unmixing in hyperspectral imaging
Data Handling in Science and Technology, Resolving Spectral Mixtures with Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging, 30 – 2016 (Chapter 6), , pp.185-224, 2016, Data Handling in Science and Technology, 978-0-444-63638-6. ⟨10.1016/B978-0-444-63638-6.00006-1⟩
Nicolas Dobigeon, Said Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero
MCMC algorithms for supervised and unsupervised linear unmixing of hyperspectral images
In : New Concepts in Imaging: Optical and Statistical Models. David Mary, Céline Theys, Claude Aime (Eds.) , EDP Sciences, pp. 381-401, Vol. 59, EAS Publications Series, 2013.
Inférence bayésienne dans des problèmes inverses, myopes et aveugles en traitement du signal et des images
HDR, Institut National Polytechnique de Toulouse, October 2012.
Modèles bayésiens hiérarchiques pour le traitement multi-capteur
Master’s Thesis, Institut National Polytechnique de Toulouse, October 2007.
Yoann Altmann, Nathalie Brun, Nicolas Dobigeon, Katia March, Saïd Moussaoui, Olivier Schneegans
Hyperspectral EELS Image Unmixing
6th Conference in Spectral Imaging (IASIM 2016), Jul 2016, Chamonix, France. 2016, Proceedings of the 6th Conference in Spectral Imaging (IASIM 2016)
Erwan Tréguier, Frédéric Schmidt, Albrecht Schmidt, Said Moussaoui, Nicolas Dobigeon, Stéphane Erard, Alejandro Cardesin, Patrick Pinet, Patrick Martin
Investigating Martian and Venusian hyperspectral datasets through Positive Source Separation (poster)
In : American Geophysical Union Fall Meeting, San Francisco, CA, 13/12/10-17/12/10, American Geophysical Union (AGU), (electronic medium), December 2010.
Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling
2024
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity
2020
Etienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon
Reconstruction of partially sampled multi-band images – Application to STEM-EELS imaging
2018
Adrien Lagrange, Mathieu M. Fauvel, Stéphane May, Nicolas Dobigeon
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning
2017
Clément Elvira, Pierre Chainais, Nicolas Dobigeon
Bayesian nonparametric Principal Component Analysis
2017
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