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Nicolas Dobigeon

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Nicolas Dobigeon a reçu le Diplôme d'Ingénieur en Électronique de l'[ENSEEIHT](http://www.enseeiht.fr/) et le D.E.A. (Master Recherche) en Traitement du Signal de l'[Institut National Polytechnique de Toulouse](http://www.inp-toulouse.fr/) (INP Toulouse) en Juin 2004. En 2007, il a obtenu un Doctorat en Traitement du Signal de l'INP de Toulouse et, en 2012, il a reçu l'Habilitation à Diriger des Recherches (HDR) de l'INP de Toulouse. De 2007 à 2008, il a été chercheur post-doctoral associé au Département Electrical Engineering and Computer Science de l'[Université du Michigan](http://www.umich.edu/) à Ann Arbor. En 2008, il a été nommé à l'Institut National Polytechnique de Toulouse ([Université de Toulouse](http://www.univ-toulouse.fr/), INP-ENSEEIHT) où il est actuellement Professeur. Il mène ses activités de recherche au sein de l'équipe [Signal et Communications](http://sc.enseeiht.fr/) du laboratoire [IRIT](http://www.irit.fr/) (UMR CNRS 5505) et et est aussi membre associé de l'équipe-projet [Apprentissage Optimisation Complexité](https://perso.math.univ-toulouse.fr/aoc/) (AOC) du LabEx [CIMI](http://www.cimi.univ-toulouse.fr/fr). Il porte une Chaire à l'Institut Interdisciplinaire d'Intelligence Artificielle 3IA [ANITI](http://aniti.univ-toulouse.fr) (Artificial and Natural Intelligence Toulouse Institute) et est Membre Honoraire de l'[Institut Universitaire de France](http://www.iufrance.fr/) (IUF, Promotion Junior 2017). Ses activités de recherche concernent principalement le traitement statistique du signal et des images, avec un intérêt particulier pour les problèmes inverses bayésiens rencontrés en télédétection, imagerie médicale et microscopie. Il est actuellement Senior Area Editor pour [IEEE Trans. Signal Processing](https://signalprocessingsociety.org/publications-resources/ieee-transactions-signal-processing) (depuis 2022), responsable adjoint du Département [Signaux et Images](https://www.irit.fr/-Signaux-images,7-) de l'IRIT (depuis 2017), et membre du groupe d'animation de l'axe stratégique "[Numérique et Société](https://www.univ-toulouse.fr/recherche-dynamique/strategie-scientifique-partagee)" à l'Université Fédérale Toulouse Midi-Pyrénées (depuis 2020). Il est le responsable de la formation de spécialité "[Intelligence Artificielle pour le Traitement de l'Information](http://sc.enseeiht.fr/iati/index.html)" à l'INP-ENSEEIHT (depuis 2022). Il était Éditeur Associé pour [IEEE Trans. Signal Processing](https://signalprocessingsociety.org/publications-resources/ieee-transactions-signal-processing) (2020-2022), [Signal Processing](https://www.journals.elsevier.com/signal-processing) (2016-2020) et [Digital Signal Processing](https://www.journals.elsevier.com/digital-signal-processing) (2018-2020), membre du comité technique [SPTM TC](https://signalprocessingsociety.org/get-involved/signal-processing-theory-and-methods) de IEEE Signal Processing Society (2018-2020), membre du Comité de Direction du [GDR-ISIS](http://gdr-isis.fr/) (2013-2018), membre nommé puis élu au [Conseil National des Universités](https://www.conseil-national-des-universites.fr/) (CNU-Section 61, 2012-2016) et élu au Conseil Scientifique de Toulouse INP (2014-2016). Il a également été en charge la formation de spécialité "[Traitement du Signal et des Images](http://sc.enseeiht.fr/tsi/)" au sein du Département Electronique de l'INP-ENSEEIHT (2011-2019). Il est IEEE Senior Member et membre de European Laboratory for Learning and Intelligent Systems ([ELLIS](https://ellis.eu/)). \---- Professional Webpage: [https://ndobigeon.github.io/](http://dobigeon.perso.enseeiht.fr/) Google Scholar Profile: [https://scholar.google.com/citations?hl=en&user=YPQFwDYAAAAJ](https://scholar.google.com/citations?hl=en&user=YPQFwDYAAAAJ)
Nicolas Dobigeon received the Eng. degree in Electrical Engineering from [INP](http://www.inp-toulouse.fr/)-[ENSEEIHT](http://www.enseeiht.fr/), Toulouse, France, and the M.Sc. degree in Signal Processing from the [Institut National Polytechnique de Toulouse](http://www.inp-toulouse.fr/) (Toulouse INP), both in June 2004. He received the Ph.D. degree and Habilitation à Diriger les Recherches in Signal Processing from Toulouse INP in 2007 and 2012, respectively. From 2007 to 2008, he was a Postdoctoral Research Associate with the Department of Electrical Engineering and Computer Science, [University of Michigan](http://www.umich.edu/), Ann Arbor. Since 2008, Nicolas Dobigeon has been with Toulouse INP (INP-ENSEEIHT, [University of Toulouse](https://en.univ-toulouse.fr/)) where he is currently a Professor. He conducts his research within the [Signal and Communications](http://sc.enseeiht.fr/) (SC) group of [IRIT](http://www.irit.fr) and is an associate member of the [Apprentissage Optimisation Complexité](https://perso.math.univ-toulouse.fr/aoc/) (AOC) project-team of [CIMI](http://www.cimi.univ-toulouse.fr/fr). He currently holds an AI Research Chair at the [Artificial and Natural Intelligence Toulouse Institute](http://aniti.univ-toulouse.fr/index.php/en/) (ANITI) and he is a Junior Member of the [Institut Universitaire de France](http://www.iufrance.fr/) (IUF, 2017-2022). His recent research activities have been focused on statistical signal and image processing, with a particular interest in Bayesian inverse problems and applications to remote sensing, biomedical imaging and microscopy. He is currently a Senior Area Editor for [IEEE Trans. Signal Processing](https://signalprocessingsociety.org/publications-resources/ieee-transactions-signal-processing) (since 2022), the Deputy Head of the Dept. of [Signals and Images](https://www.irit.fr/-Signaux-images,7-) at IRIT (since 2017) and a member of the scientific working group dedicated to "D[igital society](https://www.univ-toulouse.fr/recherche-dynamique/strategie-scientifique-partagee)" for the Fed. Univ. Toulouse Midi-Pyrénées (since 2020). He is the Head of the Major Program "[Artificial Intelligence for Information Processing](http://sc.enseeiht.fr/iati/index.html)" at INP-ENSEEIHT (since 2022). He was an Associate Editor for [IEEE Trans. Signal Processing](https://signalprocessingsociety.org/publications-resources/ieee-transactions-signal-processing) (2020-2022), [Signal Processing](https://www.journals.elsevier.com/signal-processing) (2016-2020) and [Digital Signal Processing](https://www.journals.elsevier.com/digital-signal-processing) (2018-2020), a member of the [SPTM TC](https://signalprocessingsociety.org/get-involved/signal-processing-theory-and-methods) of the IEEE Signal Processing Society (2018-2020), a steering committee member of the French research group [GDR-ISIS](http://gdr-isis.fr/) (2013-2018), a member of [French National Council of Universities](https://www.conseil-national-des-universites.fr/) (CNU/Section 61, 2012-2016) and an elected member at the Research Council of Toulouse INP (2014-2016). He was the Head of the Major Program on "[Signal and Image Processing](http://sc.enseeiht.fr/tsi/)" at INP-ENSEEIHT (2011-2019). He is an IEEE Senior Member and a Member of the European Laboratory for Learning and Intelligent Systems ([ELLIS](https://ellis.eu/)). \---- Professional Webpage: [https://ndobigeon.github.io/](http://dobigeon.perso.enseeiht.fr/) Google Scholar Profile: [https://scholar.google.com/citations?hl=en&user=YPQFwDYAAAAJ](https://scholar.google.com/citations?hl=en&user=YPQFwDYAAAAJ)

Publications

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Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images

Yanna Cruz Cavalcanti , Thomas Oberlin , Vinicius Ferraris , Nicolas Dobigeon , Maria Ribeiro et al.
Medical Image Analysis, 2023, 84, pp.102689. ⟨10.1016/j.media.2022.102689⟩
Journal articles hal-03928633v1

High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm

Maxime Vono , Nicolas Dobigeon , Pierre Chainais
SIAM Review, 2022, 64 (1), pp.3-56. ⟨10.1137/20M1371026⟩
Journal articles hal-03319153v1
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A 3D-CNN Framework for Hyperspectral Unmixing with Spectral Variability

Min Zhao , Shuaikai Shi , Jie Chen , Nicolas Dobigeon
IEEE Transactions on Geoscience and Remote Sensing, 2022, pp.1-14. ⟨10.1109/TGRS.2022.3141387⟩
Journal articles hal-03574297v1
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Weighted residual NMF with spatial regularization for hyperspectral unmixing

Taner Ince , Nicolas Dobigeon
IEEE Geoscience and Remote Sensing Letters, 2022, 19 (June 2022), ⟨10.1109/LGRS.2022.3182042⟩
Journal articles hal-03696241v1
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Fast Hyperspectral Unmixing Using a Multiscale Sparse Regularization

Taner Ince , Nicolas Dobigeon
IEEE Geoscience and Remote Sensing Letters, 2022, 19, pp.1-5. ⟨10.1109/LGRS.2022.3217872⟩
Journal articles hal-03928639v1

Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms

Maxime Vono , Nicolas Dobigeon , Pierre Chainais
Journal of Computational and Graphical Statistics, 2021, 30 (2), pp.335-348. ⟨10.1080/10618600.2020.1826954⟩
Journal articles hal-03064884v1

Provably robust blind source separation of linear-quadratic near-separable mixtures

Christophe Kervazo , Nicolas Gillis , Nicolas Dobigeon
SIAM Journal on Imaging Sciences, 2021, 14 (4), pp.1848-1889. ⟨10.1137/20M1382878⟩
Journal articles hal-03319157v1
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Simulated JWST data sets for multispectral and hyperspectral image fusion

Claire Guilloteau , Thomas Oberlin , Olivier Berné , Émilie Habart , Nicolas Dobigeon et al.
The Astronomical Journal, 2020, 160 (1), pp.0. ⟨10.3847/1538-3881/ab9301⟩
Journal articles hal-02886110v1
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Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability

Tatsumi Uezato , Mathieu Fauvel , Nicolas Dobigeon
Remote Sensing, 2020, 12 (14), pp.2326. ⟨10.3390/rs12142326⟩
Journal articles hal-02949164v1
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Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images

Adrien Lagrange , Mathieu Fauvel , Stéphane May , Nicolas Dobigeon
IEEE Transactions on Geoscience and Remote Sensing, 2020, 58 (7), pp.4915-4927. ⟨10.1109/TGRS.2020.2968541⟩
Journal articles hal-02902965v1
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Matrix cofactorization for joint representation learning and supervised classification : application to hyperspectral image analysis

Adrien Lagrange , Mathieu Fauvel , Stéphane May , José M. Bioucas-Dias , Nicolas Dobigeon et al.
Neurocomputing, 2020, 385, pp.132-147. ⟨10.1016/j.neucom.2019.12.068⟩
Journal articles hal-02887755v1
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Robust fusion algorithms for unsupervised change detection between multi-band optical images — A comprehensive case study

Vinicius Ferraris , Nicolas Dobigeon , Marie Chabert
Information Fusion, 2020, 64, pp.293-317. ⟨10.1016/j.inffus.2020.08.008⟩
Journal articles hal-02949168v1
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Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling

Etienne Monier , Thomas Oberlin , Nathalie Brun , Xiaoyan Li , Marcel Tencé et al.
Ultramicroscopy, 2020, 215, pp.112993. ⟨10.1016/j.ultramic.2020.112993⟩
Journal articles hal-02949156v1
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Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs – Application to High Dimensional Infrared Astronomical Imaging

Claire Guilloteau , Thomas Oberlin , Olivier Berné , Nicolas Dobigeon
IEEE Transactions on Computational Imaging, 2020, 6, pp.1362-1374. ⟨10.1109/TCI.2020.3022825⟩
Journal articles hal-02949174v1
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Factor analysis of dynamic PET images: beyond Gaussian noise

Yanna Cruz Cavalcanti , Thomas Oberlin , Nicolas Dobigeon , Cédric Févotte , Simon Stute et al.
IEEE Transactions on Medical Imaging, 2019, 38 (9), pp.2231-2241. ⟨10.1109/TMI.2019.2906828⟩
Journal articles hal-02376777v1
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Partially Asynchronous Distributed Unmixing of Hyperspectral Images

Pierre-Antoine Thouvenin , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (4), pp.2009-2021. ⟨10.1109/TGRS.2018.2870486⟩
Journal articles hal-02186067v1

Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning

Adrien Lagrange , Mathieu Fauvel , Stéphane May , Nicolas Dobigeon
Pattern Recognition, 2019, 85, pp.26-36. ⟨10.1016/j.patcog.2018.07.026⟩
Journal articles hal-02628773v1
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A Bayesian nonparametric model for unsupervised joint segmentation of a collection of images

Jessica Sodjo , Audrey Giremus , Nicolas Dobigeon , François Caron
IEEE Access, 2019, 7, pp.12017-12018. ⟨10.1109/ACCESS.2019.2936541⟩
Journal articles hal-02397238v1

Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity

Tatsumi Uezato , Mathieu Fauvel , Nicolas Dobigeon
IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (6), pp.3980-3992. ⟨10.1109/TGRS.2018.2889256⟩
Journal articles hal-02628783v1
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Split-and-augmented Gibbs sampler - Application to large-scale inference problems

Maxime Vono , Nicolas Dobigeon , Pierre Chainais
IEEE Transactions on Signal Processing, 2019, 67 (6), pp.1648-1661. ⟨10.1109/TSP.2019.2894825⟩
Journal articles hal-02438041v1
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Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images

Vinicius Ferraris , Nicolas Dobigeon , Yanna Cruz Cavalcanti , Thomas Oberlin , Marie Chabert et al.
Computer Vision and Image Understanding, 2019, 189, pp.1-15. ⟨10.1016/j.cviu.2019.102817⟩
Journal articles hal-02397250v1
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Non-linear unmixing of hyperspectral images using multiple-kernel self-organizing maps

Shaheera Rashwan , Nicolas Dobigeon , Walaa Sheta , Hassan Hanan
IET Image Processing, 2019, 13 (12), pp.2190-2195. ⟨10.1049/iet-ipr.2018.5094⟩
Journal articles hal-02494140v1
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Foreword to the special issue on quality improvements of remote sensing data

Huanfeng Shen , Xiuping Jia , José M. Bioucas-Dias , Nicolas Dobigeon , Yi Cui et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (3), pp.687-690. ⟨10.1109/JSTARS.2018.2807998⟩
Journal articles hal-02316836v1
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Hyperspectral image unmixing with LiDAR data-aided spatial regularization

Tatsumi Uezato , Mathieu Fauvel , Nicolas Dobigeon
IEEE Transactions on Geoscience and Remote Sensing, 2018, 56 (7), pp.4098-4108. ⟨10.1109/TGRS.2018.2823419⟩
Journal articles hal-02626252v1
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Detecting changes between optical images of different spatial and spectral resolutions: a fusion-based approach

Vinicius Ferraris , Nicolas Dobigeon , Qi Wei , Marie Chabert
IEEE Transactions on Geoscience and Remote Sensing, 2018, 56 (3), pp.1566-1578. ⟨10.1109/TGRS.2017.2765348⟩
Journal articles hal-02539644v1
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Reconstruction of partially sampled multi-band images - Application to STEM-EELS Imaging

Etienne Monier , Thomas Oberlin , Nathalie Brun , Marcel Tencé , Maria de Frutos et al.
IEEE Transactions on Computational Imaging, 2018, 4 (4), pp.585-598. ⟨10.1109/TCI.2018.2866961⟩
Journal articles hal-02181994v1
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A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images

Pierre-Antoine Thouvenin , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Computational Imaging, 2018, 4 (1), pp.32-45. ⟨10.1109/TCI.2017.2777484⟩
Journal articles hal-02002120v1
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Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising

Jordan Frecon , Nelly Pustelnik , Nicolas Dobigeon , Herwig Wendt , Patrice Abry et al.
IEEE Transactions on Signal Processing, 2017, 65 (19), pp.5215-5224. ⟨10.1109/TSP.2017.2715000⟩
Journal articles hal-01887965v1
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Robust fusion of multi-band images with different spatial and spectral resolutions for change detection

Vinicius Ferraris , Nicolas Dobigeon , Qi Wei , Marie Chabert
IEEE Transactions on Computational Imaging, 2017, 3 (2), pp.175-186. ⟨10.1109/TCI.2017.2692645⟩
Journal articles hal-03512954v1
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A split-and-merge approach for hyperspectral band selection

Shaheera Rashwan , Nicolas Dobigeon
IEEE Geoscience and Remote Sensing Letters, 2017, 14 (8), pp.1378-1382. ⟨10.1109/LGRS.2017.2713462⟩
Journal articles hal-01887849v1
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Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects

Abderrahim Halimi , José Bioucas Dias , Nicolas Dobigeon , Gerald S. Buller , Stephen Mc Laughlin et al.
IEEE Transactions on Computational Imaging, 2017, vol. 3 (n° 2), pp. 146-159. ⟨10.1109/TCI.2016.2631979⟩
Journal articles hal-01692733v1
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R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation

Qi Wei , Nicolas Dobigeon , Jean-Yves Tourneret , José M. Bioucas-Dias , Simon Godsill et al.
IEEE Signal Processing Letters, 2016, vol. 23 (n° 11), pp. 1632-1636. ⟨10.1109/LSP.2016.2608858⟩
Journal articles hal-01407440v1
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Detection and Correction of Glitches in a Multiplexed Multichannel Data Stream—Application to the MADRAS Instrument

Herwig Wendt , Nicolas Dobigeon , Jean-Yves Tourneret , Mathieu Albinet , Christophe Goldstein et al.
IEEE Transactions on Geoscience and Remote Sensing, 2016, vol. 54 (n° 5), pp. 2803-2811. ⟨10.1109/TGRS.2015.2505902⟩
Journal articles hal-01338814v1
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Hyperspectral unmixing with spectral variability using a perturbed linear mixing model

Pierre-Antoine Thouvenin , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Signal Processing, 2016, 64 (2), pp.525-538. ⟨10.1109/TSP.2015.2486746⟩
Journal articles hal-01273078v1
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Multiband Image Fusion Based on Spectral Unmixing

Qi Wei , José M. Bioucas-Dias , Nicolas Dobigeon , Jean-Yves Tourneret , Marcus Chen et al.
IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (12), pp.7236-7249. ⟨10.1109/TGRS.2016.2598784⟩
Journal articles hal-01406997v1
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Online unmixing of multitemporal hyperspectral images accounting for spectral variability

Pierre-Antoine Thouvenin , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2016, vol. 25 (n° 9), pp. 3979-3990. ⟨10.1109/TIP.2016.2579309⟩
Journal articles hal-01500507v1
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Fast Single Image Super-Resolution Using a New Analytical Solution for l2–l2 Problems

Ningning Zhao , Qi Wei , Adrian Basarab , Nicolas Dobigeon , Denis Kouamé et al.
IEEE Transactions on Image Processing, 2016, vol. 25 (n° 8), pp. 3683-3697. ⟨10.1109/TIP.2016.2567075⟩
Journal articles hal-01373784v1
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Combining local regularity estimation and total variation optimization for scale-free texture segmentation

Nelly Pustelnik , Herwig Wendt , Patrice Abry , Nicolas Dobigeon
IEEE Transactions on Computational Imaging, 2016, 2 (4), pp.468-479. ⟨10.1109/TCI.2016.2594139⟩
Journal articles hal-03515307v1
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Bayesian anti-sparse coding

Clément Elvira , Pierre Chainais , Nicolas Dobigeon
IEEE Transactions on Signal Processing, 2016, ⟨10.1109/TSP.2016.2645543⟩
Journal articles hal-01433706v1

Unsupervised unmixing of hyperspectral images accounting for endmember variability

Abderrahim Halimi , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2015, 24 (12), pp.4904--4917. ⟨10.1109/TIP.2015.2471182⟩
Journal articles hal-03198231v1
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Bayesian Fusion of Multi-Band Images

Qi Wei , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Journal of Selected Topics in Signal Processing, 2015, vol. 9 (n° 6), pp. 1117-1127. ⟨10.1109/JSTSP.2015.2407855⟩
Journal articles hal-01187286v1
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Toward fast transform learning

Olivier Chabiron , François Malgouyres , Jean-Yves Tourneret , Nicolas Dobigeon
International Journal of Computer Vision, 2015, vol. 114 (n° 2), pp. 195-216. ⟨10.1007/s11263-014-0771-z⟩
Journal articles hal-00862903v4
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Bayesian Estimation of the Multifractality Parameter for Image Texture Using a Whittle Approximation

Sébastien Combrexelle , Herwig Wendt , Nicolas Dobigeon , Jean-Yves Tourneret , Stephen Mclaughlin et al.
IEEE Transactions on Image Processing, 2015, vol. 24 (n° 8), pp. 2540-2551. ⟨10.1109/TIP.2015.2426021⟩
Journal articles hal-01187463v1
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Hyperspectral and multispectral image fusion based on a sparse representation

Qi Wei , José M. Bioucas-Dias , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Geoscience and Remote Sensing, 2015, vol. 53 (n° 7), pp. 3658-3668. ⟨10.1109/TGRS.2014.2381272⟩
Journal articles hal-01168121v1
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Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization

Cédric Févotte , Nicolas Dobigeon
IEEE Transactions on Image Processing, 2015, vol. 24 (n° 12), pp. 4810-4819. ⟨10.1109/TIP.2015.2468177⟩
Journal articles hal-01212736v1
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Hyperspectral Pansharpening: A Review

Laetitia Loncan , Luís Almeida , José M Bioucas-Dias , Xavier Briottet , Jocelyn Chanussot et al.
IEEE geoscience and remote sensing magazine, 2015, 3 (3), pp.27-46. ⟨10.1109/MGRS.2015.2440094⟩
Journal articles hal-01403205v1
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Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation

Qi Wei , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2015, vol. 24 (n° 11), pp. 4109-4121. ⟨10.1109/TIP.2015.2458572⟩
Journal articles hal-01187314v1
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Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm

Yoann Altmann , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2014, 23 (6), pp.2663-2675. ⟨10.1109/TIP.2014.2314022⟩
Journal articles hal-00992112v1
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Nonlinear unmixing of hyperspectral images: Models and algorithms

Nicolas Dobigeon , Jean-Yves Tourneret , Cédric Richard , José Carlos M. Bermudez , Steve Mclaughlin et al.
IEEE Signal Processing Letters, 2014, vol. 31, pp. 82-94. ⟨10.1109/MSP.2013.2279274⟩
Journal articles hal-00915663v1
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Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM

Se Un Park , Nicolas Dobigeon , Alfred O. Hero
Signal Processing, 2014, vol. 94, pp. 386-400. ⟨10.1016/j.sigpro.2013.06.013⟩
Journal articles hal-00875110v1
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Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models

Marcelo Pereyra , Nicolas Dobigeon , Hadj Batatia , Jean-Yves Tourneret
IEEE Signal Processing Letters, 2014, vol. 21, pp. 47-50. ⟨10.1109/LSP.2013.2290329⟩
Journal articles hal-00915825v1
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Joint Bayesian estimation of close subspaces from noisy measurements

Olivier Besson , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Signal Processing Letters, 2014, vol. 21, pp.168-171. ⟨10.1109/LSP.2013.2296138⟩
Journal articles hal-00924988v1
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Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection

Yoann Altmann , Nicolas Dobigeon , Steve Mclaughlin , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2014, vol. 23, pp. 2148-2158. ⟨10.1109/TIP.2014.2312616⟩
Journal articles hal-00984400v1
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A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data

Nicolas Dobigeon , Laurent Tits , Ben Somers , Yoann Altmann , Pol Coppin et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, vol. 7, pp. 1869-1878. ⟨10.1109/JSTARS.2014.2328872⟩
Journal articles hal-01056556v1
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Nonlinear spectral unmixing of hyperspectral images using Gaussian processes

Yoann Altmann , Nicolas Dobigeon , Steve Mclaughlin , Jean-Yves Tourneret
IEEE Transactions on Signal Processing, 2013, vol. 61, pp. 2442-2453. ⟨10.1109/TSP.2013.2245127⟩
Journal articles hal-00818786v1
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Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image

Olivier Eches , Jon Atli Benediktsson , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2013, Vol. 22, pp. 5-16. ⟨10.1109/TIP.2012.220427⟩
Journal articles hal-00780569v1
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Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm

Marcelo Alejandro Pereyra , Nicolas Dobigeon , Hadj Batatia , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2013, vol. 22 (n° 6), pp. 2385-2397. ⟨10.1109/TIP.2013.2249076⟩
Journal articles hal-01130731v1
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Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model

Yoann Altmann , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2013, vol. 22, pp.1267-1276. ⟨10.1109/TIP.2012.2210235⟩
Journal articles hal-00786063v1
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Unsupervised Bayesian linear unmixing of gene expression microarrays

Cécile Bazot , Nicolas Dobigeon , Jean-Yves Tourneret , Aimee K. Zaas , Geoffrey S. Ginsburg et al.
BMC Bioinformatics, 2013, Vol. 14, ⟨10.1186/1471-2105-14-99⟩
Journal articles hal-00858969v1
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Spectral mixture analysis of EELS spectrum-images.

Nicolas Dobigeon , Nathalie Brun
Ultramicroscopy, 2012, 120, pp.25-34. ⟨10.1016/j.ultramic.2012.05.006⟩
Journal articles hal-03531041v1
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Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture model

Marcelo Alejandro Pereyra , Nicolas Dobigeon , Hadj Batatia , Jean-Yves Tourneret
IEEE Transactions on Medical Imaging, 2012, 31 (8), pp.1509-1520. ⟨10.1109/TMI.2012.2190617⟩
Journal articles hal-03531032v1
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Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery

Yoann Altmann , Abderrahim Halimi , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2012, 21 (6), pp.3017-3025. ⟨10.1109/TIP.2012.2187668⟩
Journal articles hal-03534056v1
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Blind deconvolution of sparse pulse sequences under a minimum distance constraint: a partially collapsed Gibbs sampler method

Georg Kail , Jean-Yves Tourneret , Franz Hlawatsch , Nicolas Dobigeon
IEEE Transactions on Signal Processing, 2012, 60 (6), pp.2727-2743. ⟨10.1109/TSP.2012.2190066⟩
Journal articles hal-03534065v1
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CS Decomposition Based Bayesian Subspace Estimation

Olivier Besson , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Signal Processing, 2012, 60 (8), pp.4210-4218. ⟨10.1109/TSP.2012.2197619⟩
Journal articles hal-03536982v1
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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

José M. Bioucas-Dias , Antonio Plaza , Nicolas Dobigeon , Mario Parente , Qian Du et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5 (2), pp.354-379. ⟨10.1109/JSTARS.2012.2194696⟩
Journal articles hal-00760787v1
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Semi-blind sparse image reconstruction with application to MRFM

Se Un Park , Nicolas Dobigeon , Alfred O. Hero
IEEE Transactions on Image Processing, 2012, vol. 21, pp. 3838-3849. ⟨10.1109/TIP.2012.2199505⟩
Journal articles hal-00729998v1
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Temporal Dynamics of Host Molecular Responses Differentiate Symptomatic and Asymptomatic Influenza A Infection.

Yongsheng Huang , Aimee K. Zaas , Arvind Rao , Nicolas Dobigeon , Peter J. Woolf et al.
PLoS Genetics, 2011, 7 (8), pp.1-17. ⟨10.1371/journal.pgen.1002234⟩
Journal articles hal-03545137v1
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Minimum mean square distance estimation of a subspace

Olivier Besson , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Signal Processing, 2011, 59 (12), pp.5709 -5720. ⟨10.1109/TSP.2011.2166548⟩
Journal articles hal-03610507v1
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Nonlinear unmixing of hyperspectral images using a generalized bilinear model

Abderrahim Halimi , Yoann Altmann , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Geoscience and Remote Sensing, 2011, 49 (11), pp.4153-4162. ⟨10.1109/TGRS.2010.2098414⟩
Journal articles hal-03545147v1
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Implementation strategies for hyperspectral unmixing using Bayesian source separation.

Frédéric Schmidt , Albrecht Schmidt , Erwan Tréguier , Maël Guiheneuf , Saïd Moussaoui et al.
IEEE Transactions on Geoscience and Remote Sensing, 2010, 48 (11), pp.4003-4013. ⟨10.1109/TGRS.2010.2062190⟩
Journal articles hal-03556769v1
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Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery

Olivier Eches , Nicolas Dobigeon , Corinne Mailhes , Jean-Yves Tourneret
IEEE Transactions on Image Processing, 2010, 1 (6), pp.1403-1413. ⟨10.1109/TIP.2010.2042993⟩
Journal articles hal-03556819v1
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Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm.

Olivier Eches , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Journal of Selected Topics in Signal Processing, 2010, 4 (3), pp.582-591. ⟨10.1109/JSTSP.2009.2038212⟩
Journal articles hal-03556777v1
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Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d’images hyperspectrales

Nicolas Dobigeon , Saïd Moussaoui , Martial Coulon , Jean-Yves Tourneret , Alfred O. Hero et al.
Traitement du Signal, 2010, 27 (1), pp.79-108. ⟨10.3166/ts.27.79-108⟩
Journal articles hal-03549075v1
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Hierarchical Bayesian sparse image reconstruction with application to MRFM

Nicolas Dobigeon , Jean-Yves Tourneret , Alfred O. Hero
IEEE Transactions on Signal Processing, 2009, 1 (9), pp.2059-2070. ⟨10.1109/TIP.2009.2024067⟩
Journal articles hal-03573142v1
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Bayesian separation of spectral sources under non-negativity and full additivity constraints

Nicolas Dobigeon , Saïd Moussaoui , Jean-Yves Tourneret
Signal Processing, 2009, Special Section: Visual Information Analysis for Security, 8 (12), pp.2657-2669. ⟨10.1016/j.sigpro.2009.05.005⟩
Journal articles hal-00455580v1

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery

Nicolas Dobigeon , Saïd Moussaoui , Martial Coulon , Jean-Yves Tourneret , Alfred Hero et al.
IEEE Transactions on Signal Processing, 2009, 57 (11), pp.4355-4368. ⟨10.1109/TSP.2009.2025797⟩
Journal articles hal-00455585v1
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Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery

Jean-Yves Tourneret , Nicolas Dobigeon , Chein-I Chang
IEEE Transactions on Signal Processing, 2008, 5 (7), pp.2684-2695. ⟨10.1109/TSP.2008.917851⟩
Journal articles hal-03579588v1

Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery

Jean-Yves Tourneret , Nicolas Dobigeon , Chein-I Chang
IEEE Transactions on Signal Processing, 2008, vol. 56 n° 7., pp. 2684-2695 available on : http://oatao.univ-toulouse.fr/803/1/dobigeon_803.pdf
Journal articles hal-00474880v1

Joint segmentation of multivariate astronomical time series : bayesian sampling with a hierarchical model

Nicolas Dobigeon , Jean-Yves Tourneret , Jeffrey Scargle
IEEE Transactions on Signal Processing, 2007, vol. 55 n° 2., 414-423 available on : http://oatao.univ-toulouse.fr/875/2/Tourneret_875.pdf
Journal articles hal-00475973v1

Joint segmentation of wind speed and direction using a hierarchical model

Nicolas Dobigeon , Jean-Yves Tourneret
Computational Statistics and Data Analysis, 2007, vol. 51 n° 12., 5603-5621 available on : http://oatao.univ-toulouse.fr/870/3/Tourneret_870.pdf
Journal articles hal-00474912v1
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Joint segmentation of multivariate astronomical time series : bayesian sampling with a hierarchical model

Nicolas Dobigeon , Jean-Yves Tourneret , Jeffrey Scargle
IEEE Transactions on Signal Processing, 2007, 5 (2), pp.414-423. ⟨10.1109/TSP.2006.885768⟩
Journal articles hal-03593986v1

Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling approach

Nicolas Dobigeon , Jean-Yves Tourneret , Manuel Davy
IEEE Transactions on Signal Processing, 2007, 57 (4), pp.1251-1263. ⟨10.1109/TSP.2006.889090⟩
Journal articles hal-00475971v1
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Sliced-Wasserstein normalizing flows: beyond maximum likelihood training

Florentin Coeurdoux , Nicolas Dobigeon , Pierre Chainais
30th European Symposium on Artificial Neural Networks (ESANN 2022), Oct 2022, Bruges, Belgium. ⟨10.48550/arXiv.2207.05468⟩
Conference papers hal-03720995v1
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A Bayesian estimation formulation to voxel-based lesion-symptom mapping

Mame Diarra Fall , Nicolas Dobigeon , Pascal Auzou
30th European Signal Processing Conference (EUSIPCO 2022), European Association for Signal Processing (EURASIP), Aug 2022, Belgrade, Serbia
Conference papers hal-03704681v1
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Approximation du transport optimal entre distributions empiriques par flux de normalisation

Florentin Coeurdoux , Nicolas Dobigeon , Pierre Chainais
XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France
Conference papers hal-03704666v1
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Learning optimal transport between two empirical distributions with normalizing flows

Florentin Coeurdoux , Nicolas Dobigeon , Pierre Chainais
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⟩
Conference papers hal-03713840v1
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Informed spatial regularizations for fast fusion of astronomical images

Claire Guilloteau , Thomas Oberlin , Olivier Berné , Nicolas Dobigeon
IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France. pp.1-5
Conference papers hal-03724654v1
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Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures (EUSIPCO 2020)

Christophe Kervazo , Nicolas Gillis , Nicolas Dobigeon
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⟩
Conference papers hal-03108191v1
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Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures (iTWIST 2020)

Christophe Kervazo , Nicolas Gillis , Nicolas Dobigeon
International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST 2020), Dec 2020, Nantes (virtual), France
Conference papers hal-03108196v1
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Unsupervised change detection for multimodal remote sensing images via coupled dictionary learning and sparse coding

Vinicius Ferraris , Nicolas Dobigeon , Yanna Cruz Cavalcanti , Thomas Oberlin , Marie Chabert et al.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020, Barcelona, Spain. pp.4627-4631
Conference papers hal-02950724v1
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Fusion of hyperspectral and multispectral infrared astronomical images

Claire Guilloteau , Thomas Oberlin , Olivier Berné , Nicolas Dobigeon
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⟩
Conference papers hal-02879718v1
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Bayesian Image Restoration under Poisson Noise and Log-concave Prior

Maxime Vono , Nicolas Dobigeon , Pierre Chainais
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⟩
Conference papers hal-02438049v1
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Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise

Yanna Cruz Cavalcanti , Thomas Oberlin , Nicolas Dobigeon , Cédric Févotte , Simon Stute et al.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), May 2019, Brighton, United Kingdom. pp.1373-1377
Conference papers hal-02376808v2
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Modèles augmentés asymptotiquement exacts

Maxime Vono , Nicolas Dobigeon , Pierre Chainais
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
Conference papers hal-02419444v1
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Reconstruction of partially sampled STEM-EELS images with atomic resolution

Etienne Monier , Thomas Oberlin , Nathalie Brun , Nicolas Dobigeon
Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Nicolas Dobigeon, Toulouse INP, France; Cédric Févotte, CNRS, France, Jul 2019, Toulouse, France
Conference papers hal-03108208v1
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On variable splitting for Markov chain Monte Carlo

Maxime Vono , Nicolas Dobigeon , Pierre Chainais
Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.1-2
Conference papers hal-02419442v1
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Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales (SFPT-GH 2019)

Adrien Lagrange , Mathieu Fauvel , Stéphane May , José M. Bioucas-Dias , Nicolas Dobigeon et al.
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
Conference papers hal-02419452v1
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Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images

Adrien Lagrange , Mathieu Fauvel , Stéphane May , José M. Bioucas-Dias , Nicolas Dobigeon et al.
27th European Signal Processing Conference (EUSIPCO 2019), Sep 2019, A Coruna, Spain. pp.1-5
Conference papers hal-02442017v1
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Un modèles augmenté asymptotiquement exact pour la restauration bayésienne d'images dégradées par un bruit de Poisson

Maxime Vono , Nicolas Dobigeon , Pierre Chainais
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
Conference papers hal-02419443v1
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Reconstruction de spectres-images STEM-EELS partiellement échantillonnés

Etienne Monier , Thomas Oberlin , Nathalie Brun , Marcel Tencé , Marta de Frutos et al.
16e Colloque de la Société Française des Microscopies (SFU 2019), Jul 2019, Poitiers, France. pp.74-75
Conference papers hal-02397455v1
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Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models

Maxime Vono , Nicolas Dobigeon , Pierre Chainais
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⟩
Conference papers hal-02438055v1
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Fusion d'images multispectrales et hyperspectrales pour l'observation en astronomie infrarouge

Claire Guilloteau , Thomas Oberlin , Olivier Berné , Nicolas Dobigeon
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
Conference papers hal-02419429v1
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Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales (GRETSI 2019)

Adrien Lagrange , Mathieu Fauvel , Stéphane May , José M. Bioucas-Dias , Nicolas Dobigeon et al.
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
Conference papers hal-02419433v1
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Fusion of hyperspectral and multispectral infrared astronomical images (SPARS 2019)

Claire Guilloteau , Thomas Oberlin , Olivier Berné , Nicolas Dobigeon
Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.0
Conference papers hal-02419428v1
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A multiple endmember mixing model to handle spectral variability

Tatsumi Uezato , Mathieu Fauvel , Nicolas Dobigeon
9th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Sep 2018, Amsterdam, Netherlands. pp.1
Conference papers hal-02290011v1
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Sparse Bayesian binary logistic regression using the split-and-augmented Gibbs sampler

Maxime Vono , Nicolas Dobigeon , Pierre Chainais
IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2018), Sep 2018, Aalborg, Denmark. pp.1-6
Conference papers hal-02279425v1
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A comparative study of fusion-based change detection methods for multi-band images with different spectral and spatial resolutions

Vinicius Ferraris , Naoto Yokoya , Nicolas Dobigeon , Marie Chabert
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valencia, Spain. pp.5021-5024
Conference papers hal-02319713v1
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A Bayesian model for joint unmixing and robust classification of hyperspectral image

Adrien Lagrange , Mathieu Fauvel , Stéphane May , Nicolas Dobigeon
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Canada. pp.3399-3404
Conference papers hal-02348223v1
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Modèle bayésien hiérarchique pour le démélange et la classification robuste d’images hyperspectrales

Adrien Lagrange , Mathieu Fauvel , Stéphane May , Nicolas Dobigeon
Conférence Française de Photogrammétrie et Télédétection 2018, Jun 2018, Marne la Vallée, France. 3 p
Conference papers hal-02789569v1
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LiDAR-driven spatial regularization for hyperspectral unmixing

Tatsumi Uezato , Mathieu Fauvel , Nicolas Dobigeon
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valencia, Spain. pp.1740-1743
Conference papers hal-02319750v1

Prédiction des services écosystémiques dans les paysages agricoles par télédétection hyperspectrale

Mathieu Fauvel , Rémi Duflot , Tatsumi Uezato , Nicolas Dobigeon , Aude Vialatte et al.
6. Colloque de la Société Française de Photogrammétrie et Télédétection - Groupe Hyperspectrale (SFPT-GH), May 2018, Montpellier, France
Conference papers hal-01990156v1
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Reconstruction of partially sampled EELS images

Etienne Monier , Thomas Oberlin , Nathalie Brun , Maria de Frutos , Marcel Tencé et al.
9th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Sep 2018, Amsterdam, Netherlands. ⟨10.1109/WHISPERS.2018.8747104⟩
Conference papers hal-02289995v1
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A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images

Jessica Sodjo , Audrey Giremus , Nicolas Dobigeon , Jean-François Giovannelli
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⟩
Conference papers hal-01695104v1
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Reconstruction de spectres-images partiellement échantillonnés en microscopie EELS

Etienne Monier , Thomas Oberlin , Nathalie Brun , Nicolas Dobigeon
26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4
Conference papers hal-01913681v1
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Démélange d'images TEP dynamiques

Yanna Cruz Cavalcanti , Thomas Oberlin , Nicolas Dobigeon , Simon Stute , Clovis Tauber et al.
26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4
Conference papers hal-01912800v1
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Un modèle bayésien pour le démélange, la segmentation et la classification robuste d’images hyperspectrales

Adrien Lagrange , Mathieu Fauvel , Stéphane May , Nicolas Dobigeon
26. Colloque GRETSI 2017, Sep 2017, Juan-Les-Pins, France
Conference papers hal-02737167v1
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Une approche distribuée asynchrone pour la factorisation en matrices non-négatives - Application au démélange hyperspectral

Pierre-Antoine Thouvenin , Nicolas Dobigeon , Jean-Yves Tourneret
26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4
Conference papers hal-01913988v1
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Détection de changements par fusion robuste d'images multi-bandes de résolutions spatiale et spectrale différentes

Vinicius Ferraris , Nicolas Dobigeon , Qi Wei , Marie Chabert
26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp.1-4
Conference papers hal-01912805v1
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Une formulation bayésienne du codage antiparcimonieux

Clément Elvira , Pierre Chainais , Nicolas Dobigeon
GRETSI, Sep 2017, Juan-les-Pins, France
Conference papers hal-01691387v1
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Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities

Abderrahim Halimi , José Bioucas Dias , Nicolas Dobigeon , Gerald S. Buller , Stephen Mc Laughlin et al.
42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 3111-3115
Conference papers hal-01757349v1

Ecosystem services assessment using hyperspectral images

Mathieu Fauvel , Tatsumi Uezato , Rémi Duflot , Nicolas Dobigeon , Aude Vialatte et al.
5. Colloque de la Société Française de Photogrammétrie et Télédétection - Groupe Hyperspectrale (SFPT-GH), May 2017, Brest, France
Conference papers hal-02785275v1
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Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations

Pierre-Antoine Thouvenin , Nicolas Dobigeon , Jean-Yves Tourneret
25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. pp. 1-5
Conference papers hal-01887901v1
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Change detection between multi-band images using a robust fusion-based approach

Vinicius Ferraris , Nicolas Dobigeon , Qi Wei , Marie Chabert
42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 3346-3350
Conference papers hal-01782555v1
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Bayesian Nonparametric Subspace Estimation

Clément Elvira , Nicolas Dobigeon , Pierre Chainais
ICASSP 2017 - IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States. ⟨10.1109/ICASSP.2017.7952556⟩
Conference papers hal-01687163v1

A Bayesian model for joint unmixing, clustering and classification of hyperspectral data

Adrien Lagrange , Nicolas Dobigeon , Mathieu Fauvel , Stéphane May
Séminaire des doctorants, Apr 2017, Toulouse, France. pp. 1-28
Conference papers hal-02139416v1
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Bayesian-driven criterion to automatically select the regularization parameter in the l1-Potts model

Jordan Frecon , Nelly Pustelnik , Nicolas Dobigeon , Herwig Wendt , Patrice Abry et al.
42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 1
Conference papers hal-01757351v1
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Unmixing dynamic PET images with a PALM algorithm

Yanna Cruz Cavalcanti , Thomas Oberlin , Nicolas Dobigeon , Clovis Tauber
25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. pp. 1-5
Conference papers hal-01887888v1
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High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing

Qi Wei , Simon Godsill , José M. Bioucas-Dias , Nicolas Dobigeon , Jean-Yves Tourneret et al.
19th International Conference on Information Fusion (FUSION 2016), Jul 2016, Heidelberg, Germany. pp. 1714-1719
Conference papers hal-01514617v1
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Joint segmentation of multiple images with shared classes: a Bayesian nonparametrics approach

Jessica Sodjo , Audrey Giremus , François Caron , Jean-François Giovannelli , Nicolas Dobigeon et al.
IEEE Workshop on statistical signal processing (SSP 2016), Jun 2016, Palma de Mallorca, Spain. pp.1-5, ⟨10.1109/SSP.2016.7551735⟩
Conference papers hal-01695100v2
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Democratic prior for anti-sparse coding

Clément Elvira , Pierre Chainais , Nicolas Dobigeon
IEEE Workshop on statistical signal processing (SSP 2016), Jun 2016, Palma de Mallorca, Spain. pp. 1-5
Conference papers hal-01433632v2
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Unmixing multitemporal hyperspectral images with variability: an online algorithm

Pierre-Antoine Thouvenin , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Mar 2016, Shangai, China. pp. 3351-3355
Conference papers hal-01535952v1
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Blind model-based fusion of multi-band and panchromatic images

Qi Wei , José M. Bioucas-Dias , Nicolas Dobigeon , Jean-Yves Tourneret , Simon Godsill et al.
IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Sep 2016, Baden-Baden, Germany. pp. 21-25
Conference papers hal-01682975v1
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Estimation bayésienne locale du paramètre de multifractalité à l'aide d'un algorithme de Monte Carlo Hamiltonien

Sébastien Combrexelle , Herwig Wendt , Jean-Yves Tourneret , Nicolas Dobigeon , Stephen Mc Laughlin et al.
25eme Colloque Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2015), Sep 2015, Lyon, France. pp. 1-5
Conference papers hal-01342995v1
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A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability

Abderrahim Halimi , Nicolas Dobigeon , Jean-Yves Tourneret , Paul Honeine
ICASSP 2015, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2015, Brisbane, Australia. pp.2469-2473, ⟨10.1109/ICASSP.2015.7178415⟩
Conference papers hal-01387760v1
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Estimation de variabilité pour le démélange non-supervisé d'images hyperspectrales

Pierre-Antoine Thouvenin , Nicolas Dobigeon , Jean-Yves Tourneret
25eme Colloque Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2015), Sep 2015, Lyon, France. pp. 1-4
Conference papers hal-01342993v1
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A perturbed linear mixing model accounting for spectral variability

Pierre-Antoine Thouvenin , Nicolas Dobigeon , Jean-Yves Tourneret
23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 814-818
Conference papers hal-01360872v1
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Hyperspectral unmixing accounting for spatial correlations and endmember variability

Abderrahim Halimi , Nicolas Dobigeon , Jean-Yves Tourneret , Paul Honeine
7th IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2015), Jun 2015, Tokyo, Japan. pp. 1-4
Conference papers hal-01377331v1
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Unmixing multitemporal hyperspectral images accounting for endmember variability

Abderrahim Halimi , Nicolas Dobigeon , Jean-Yves Tourneret , Stephen Mclaughlin , Paul Honeine et al.
23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 1686-1690
Conference papers hal-01363316v1
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A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation

Sébastien Combrexelle , Herwig Wendt , Patrice Abry , Nicolas Dobigeon , Stephen Mc Laughlin et al.
40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Apr 2015, Brisbane, Australia. pp.3886-3890, ⟨10.1109/ICASSP.2015.7178699⟩
Conference papers hal-01387798v1
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Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method

Qi Wei , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2015), Jun 2015, Tokyo, Japan. pp. 1-5
Conference papers hal-01377335v1
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FUSE: a fast multi-band image fusion algorithm

Qi Wei , Nicolas Dobigeon , Jean-Yves Tourneret
6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015), Dec 2015, Cancun, Mexico. pp. 161-164
Conference papers hal-01567071v1

Démélange non-linéaire d'images hyperspectrales : mythe ou réalité ?

Jie Chen , Nicolas Dobigeon , Abderrahim Halimi , Paul Honeiné , Cédric Richard et al.
3ème colloque scientifique de la SFPT-GH - 2014, May 2014, Porquerolles, France
Conference papers hal-02967890v1
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Nonlinear unmixing of vegetated areas: a model comparison based on simulated and real hyperspectral data

Nicolas Dobigeon , Laurent Tits , Ben Somers , Yoann Altmann , Pol Coppin et al.
IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS 2014, Jun 2014, Lausanne, Switzerland. pp. 1-4
Conference papers hal-01136112v1
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Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response

Qi Wei , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. pp. 698-702
Conference papers hal-01399867v1
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Bayesian fusion of hyperspectral and multispectral images

Qi Wei , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2014, May 2014, Florence, Italy. pp. 3176-3180
Conference papers hal-01150337v1
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Fusion of multispectral and hyperspectral images based on sparse representation

Qi Wei , José M. Bioucas-Dias , Nicolas Dobigeon , Jean-Yves Tourneret
22nd European Signal and Image Processing Conference (EUSIPCO 2014), Sep 2014, Lisbon, Portugal. pp. 1577-1581
Conference papers hal-01178562v1
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Learning a fast transform with a dictionary

Olivier Chabiron , François Malgouyres , Jean-Yves Tourneret , Nicolas Dobigeon
iTwist, Aug 2014, Namur, Belgium. pp.10-12
Conference papers hal-01134819v2
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Inverse problem formulation for regularity estimation in images

Nelly Pustelnik , Patrice Abry , Herwig Wendt , Nicolas Dobigeon
International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. pp. 6081-6085
Conference papers hal-01399871v1
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A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization

Lotfi Chaari , Hadj Batatia , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2014, May 2014, Florence, Italy. pp. 1901-1905
Conference papers hal-01147247v1
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Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model

Yoann Altmann , Nicolas Dobigeon , Jean-Yves Tourneret
21st European Signal and Image Processing Conference (EUSIPCO 2013), Sep 2013, Marrakech, Morocco. pp. 1-5
Conference papers hal-01239743v1
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Estimation bayésienne du paramètre de multifractalité

Herwig Wendt , Nicolas Dobigeon , Jean-Yves Tourneret , Patrice Abry
24eme Colloque Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2013), Sep 2013, Brest, France. pp. 1-4
Conference papers hal-01239720v1
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Bayesian estimation for the multifractality parameter

Herwig Wendt , Nicolas Dobigeon , Jean-Yves Tourneret , Patrice Abry
IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2013, May 2013, Vancouver, Canada. pp. 6556-6560
Conference papers hal-01151027v1
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Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images

Nicolas Dobigeon , Cédric Févotte
IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS 2013, Jun 2013, Gainesville, United States. pp. 1-4
Conference papers hal-01151017v1
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Nonlinear hyperspectral unmixing using Gaussian processes

Yoann Altmann , Nicolas Dobigeon , Jean-Yves Tourneret , Stephen Mclaughlin
IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS 2013, Jun 2013, Gainesville, United States. pp. 1-4
Conference papers hal-01135826v1
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A robust test for nonlinear mixture detection in hyperspectral images

Yoann Altmann , Nicolas Dobigeon , Jean-Yves Tourneret , José Carlos M. Bermudez
IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2013, May 2013, Vancouver, Canada. pp. 2149-2153
Conference papers hal-01150345v1
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Regularized Bayesian compressed sensing in ultrasound imaging

Nicolas Dobigeon , Adrian Basarab , Denis Kouamé , Jean-Yves Tourneret
20th European Signal and Image Processing Conference (EUSIPCO 2012), European Association for Signal, Speech, and Image Processing (EURASIP), Aug 2012, Bucharest, Romania. pp.2600--2604
Conference papers hal-03146722v1
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Un modèle Bayésien de mélange de lois Poisson-Gamma pour segmenter des images TEP

Zacharie Irace , Marcelo Pereyra , Nicolas Dobigeon , Hadj Batatia
RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3
Conference papers hal-00656545v1

Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/MEx

F. Schmidt , S. Bourguignon , Stéphane Le Mouélic , Nicolas Dobigeon , C. Theys et al.
EPSC-DPS Joint Meeting, Oct 2011, Nantes, France. pp.969
Conference papers hal-00667772v1

Variational methods for spectral unmixing of hyperspectral images

Olivier Eches , Nicolas Dobigeon , Jean-Yves Tourneret , Hichem Snoussi
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2011, Prague, Czech Republic. pp.957-960, ⟨10.1109/ICASSP.2011.5946564⟩
Conference papers hal-02366094v1

Echantillonnage compressé Bayésien en imagerie ultrasonore

Céline Quinsac , Nicolas Dobigeon , Adrian Basarab , Jean-Yves Tourneret , Denis Kouamé et al.
Colloque du Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2011), Sep 2011, Bordeaux, France. (support électronique)
Conference papers hal-03146729v1

Bayesian compressed sensing in ultrasound imaging

Céline Quinsac , Nicolas Dobigeon , Adrian Basarab , Denis Kouamé , Jean-Yves Tourneret et al.
4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2011), Sensor Array and Multi-channel Technical Committee of the IEEE Signal Processing Society, Dec 2011, San Juan, PR, United States. pp.101--104, ⟨10.1109/CAMSAP.2011.6135897⟩
Conference papers hal-03146733v1

Multi-image unsupervised spectral analysis

A. Schmidt , E. Tréguier , F. Schmidt , M. Guiheneuf , S. Moussaoui et al.
European Planetary Science Congress, Sep 2010, Rome, Italy. pp.8
Conference papers hal-00547507v1

Applying new spectral unmixing technique to Martian hyperspectral data

E. Tréguier , F. Schmidt , A. Schmidt , M. Guiheneuf , S. Moussaoui et al.
EGU General Assembly, May 2010, Vienne, Austria. pp.12824
Conference papers hal-00546675v1

Investigating Martian and Venusian hyperspectral datasets

E. Tréguier , F. Schmidt , A. Schmidt , S. Moussaoui , Nicolas Dobigeon et al.
AGU Fall Meeting, Dec 2010, San Francisco, United States. pp.B1518
Conference papers hal-00547512v1

Accuracy and performance of optimized Bayesian source separation for hyperspectral unmixing

F. Schmidt , A. Schmidt , E. Tréguier , M. Guiheneuf , S. Moussaoui et al.
Whispers'10, Jun 2010, Reykjavik, Iceland. pp.24
Conference papers hal-00546800v1

Matrix approximation techniques for unsupervised hyperspectral data analysis

A. Schmidt , F. Schmidt , E. Treguier , S. Moussaoui , Nicolas Dobigeon et al.
EGU General Assembly, May 2010, Vienne, Austria. pp.10027
Conference papers hal-00546661v1

Extraction de composants purs et démélange linéaire bayésiens en imagerie hyperspectrale

Nicolas Dobigeon , Saïd Moussaoui , Martial Coulon , Jean-Yves Tourneret
XIIème colloque GRETSI sur le Traitement du Signal et des Images, Sep 2009, Dijon, France. pp.CDROM
Conference papers hal-00455602v1

Material identification on martian hyperspectral images using bayesian source separation

Frédéric Schmidt , Saïd Moussaoui , Nicolas Dobigeon
First IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Aug 2009, Grenoble, France. pp.1-4, ⟨10.1109/WHISPERS.2009.5289091⟩
Conference papers hal-00626167v1

Subspace-based Bayesian blind source separation for hyperspectral imagery

Nicolas Dobigeon , Saïd Moussaoui , Martial Coulon , Jean-Yves Tourneret , Alfred O. Hero et al.
3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2009), Dec 2009, Aruba, Antilles, Netherlands. pp.372-375, ⟨10.1109/CAMSAP.2009.5413255⟩
Conference papers hal-03609224v1
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Blind unmixing of linear mixtures using a hierarchical Bayesian model. Application to spectroscopic signal analysis

Nicolas Dobigeon , Jean-Yves Tourneret , Saïd Moussaoui
IEEE Workshop on Statistical Signal Processing, Aug 2007, Madison, United States. pp.CDROM, ⟨10.1109/SSP.2007.4301222⟩
Conference papers hal-00455587v1
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Séparation bayésienne de sources spectrales sous contraintes de positivité et d'additivité

Nicolas Dobigeon , Saïd Moussaoui , Jean-Yves Tourneret
XXIième Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2007, Troyes, France. pp.CDROM
Conference papers hal-00455608v1
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Joint segmentation of piecewise constant autoregressive processes by using a hierarchical model and a Bayesian sampling approach

Nicolas Dobigeon , Jean-Yves Tourneret , Manuel Davy
IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP 2006), May 2006, Toulouse, France. ⟨10.1109/ICASSP.2006.1660575⟩
Conference papers inria-00119997v1

Hyperspectral EELS Image Unmixing

Yoann Altmann , Nathalie Brun , Nicolas Dobigeon , Katia March , Saïd Moussaoui et al.
6th Conference in Spectral Imaging (IASIM 2016), Jul 2016, Chamonix, France. 2016, Proceedings of the 6th Conference in Spectral Imaging (IASIM 2016)
Conference poster hal-01441160v1

Perception et apprentissage de représentations

Michel Devy , Frédéric Lerasle , Nicolas Dobigeon , Cédric Févotte
Intelligence artificielle - Regards croisés de chercheur·es, 44, La Dépêche; CNRS, pp.12-15, 2020, Le Petit Illustré
Book sections hal-03114591v1

Linear and nonlinear unmixing in hyperspectral imaging

Nicolas Dobigeon , Yoann Altmann , Nathalie Brun , Saïd Moussaoui
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⟩
Book sections hal-02564834v1

MCMC algorithms for supervised and unsupervised linear unmixing of hyperspectral images

Nicolas Dobigeon , Saïd Moussaoui , Martial Coulon , Jean-Yves Tourneret , Alfred O. Hero et al.
Mary, David; Theys, Céline; Aime, Claude. New Concepts in Imaging: Optical and Statistical Models, 59, EDP Sciences, pp.381-401, 2013, EAS Publications Series, 978-2-7598-0958-5. ⟨10.1051/eas/1359017⟩
Book sections hal-03609211v1
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Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity

Tatsumi Uezato , Mathieu Fauvel , Nicolas Dobigeon
2020
Preprints, Working Papers, ... hal-01797092v1
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Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging

Etienne Monier , Thomas Oberlin , Nathalie Brun , Marcel Tencé , Marta de Frutos et al.
2018
Preprints, Working Papers, ... hal-01552138v1
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Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning

Adrien Lagrange , Mathieu M. Fauvel , Stéphane May , Nicolas Dobigeon
2017
Preprints, Working Papers, ... hal-01545393v1
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Bayesian nonparametric Principal Component Analysis

Clément Elvira , Pierre Chainais , Nicolas Dobigeon
2017
Preprints, Working Papers, ... hal-01687236v1
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Unmixing dynamic PET images for voxel-based kinetic component analysis

Yanna Cruz Cavalcanti , Thomas Oberlin , Nicolas Dobigeon , Simon Stute , Maria Ribeiro et al.
2017
Preprints, Working Papers, ... hal-01552171v1

Enhancing hyperspectral image unmixing with spatial correlations

Olivier Eches , Nicolas Dobigeon , Jean-Yves Tourneret
2010
Preprints, Working Papers, ... hal-00548759v1

Implementation strategies for hyperspectral unmixing using Bayesian source separation

Frederic Schmidt , Albrecht Schmidt , Erwan Treguier , Mael Guiheneuf , Said Moussaoui et al.
2010
Preprints, Working Papers, ... hal-00466419v1

Bayesian orthogonal component analysis for sparse representation

Nicolas Dobigeon , Jean-Yves Tourneret
2010
Preprints, Working Papers, ... hal-00548753v1

Bayesian separation of spectral sources under non-negativity and full additivity constraints

Nicolas Dobigeon , Said Moussaoui , Jean-Yves Tourneret , Cedric Carteret
2009
Preprints, Working Papers, ... hal-00548756v1

Hierarchical Bayesian sparse image reconstruction with application to MRFM

Nicolas Dobigeon , Alfred O. Hero , Jean-Yves Tourneret
2008
Preprints, Working Papers, ... hal-00324075v1
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Modèles bayésiens hiérarchiques pour le traitement multi-capteur

Nicolas Dobigeon
Traitement du signal et de l'image [eess.SP]. Institut National Polytechnique de Toulouse - INPT, 2007. Français. ⟨NNT : ⟩
Theses tel-00189738v1