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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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RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference—Application to pulsar observations

Xiao Zhang , Ismaël Cognard , Nicolas Dobigeon
Astronomy and Computing, 2024, 47, pp.100822. ⟨10.1016/j.ascom.2024.100822⟩
Journal articles hal-04537955v1
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CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors

Jin-Ju Wang , Nicolas Dobigeon , Marie Chabert , Ding-Cheng Wang , Ting-Zhu Huang
Information Fusion, 2024, 107, pp.102313. ⟨10.1016/j.inffus.2024.102313⟩
Journal articles hal-04483118v1
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AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising

Min Zhao , Jie Chen , Nicolas Dobigeon
IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, pp.5512115. ⟨10.1109/TGRS.2024.3377472⟩
Journal articles hal-04528503v1
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A Fast Spatial–Spectral NMF for Hyperspectral Unmixing

Taner Ince , Nicolas Dobigeon
IEEE Geoscience and Remote Sensing Letters, 2023, 20, pp.5505305. ⟨10.1109/lgrs.2023.3282218⟩
Journal articles hal-04129143v1
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Assessment of Essential Information in the Fourier Domain to Accelerate Raman Hyperspectral Microimaging

Laureen Coic , Raffaele Vitale , Myriam Moreau , David Rousseau , José Henrique de M Goulart
Analytical Chemistry, 2023, 95 (42), pp.15497-15504. ⟨10.1021/acs.analchem.3c01383⟩
Journal articles hal-04409213v1
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Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems

Min Zhao , Nicolas Dobigeon , Jie Chen
IEEE Transactions on Image Processing, 2023, 32, pp.5692-5704. ⟨10.1109/TIP.2023.3321460⟩
Journal articles hal-04338389v1
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Probabilistic Simplex Component Analysis by Importance Sampling

Nerya Granot , Tzvi Diskin , Nicolas Dobigeon , Ami Wiesel
IEEE Signal Processing Letters, 2023, 30, pp.683-687. ⟨10.1109/LSP.2023.3282166⟩
Journal articles hal-04133878v1
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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
Medical Image Analysis, 2023, 84, pp.102689. ⟨10.1016/j.media.2022.102689⟩
Journal articles hal-03928633v1
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Spatial–Spectral Multiscale Sparse Unmixing for Hyperspectral Images

Taner Ince , Nicolas Dobigeon
IEEE Geoscience and Remote Sensing Letters, 2023, 20, pp.1-5. ⟨10.1109/LGRS.2023.3328370⟩
Journal articles hal-04280429v1
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Superpixels meet essential spectra for fast Raman hyperspectral microimaging

Valentin Gilet , Guillaume Mabilleau , Matthieu Loumaigne , Laureen Coic , Raffaele Vitale
Optics Express, 2023, 32 (1), pp.932. ⟨10.1364/OE.509736⟩
Journal articles hal-04409250v1
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Arqueo 2.0. Renovación metodológica de la prospección arqueológica de zonas de montaña

Carine Calastrenc , François Baleux , Nicolas Poirier , Christine Rendu , Pierre Campmajo
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⟩
Journal articles hal-04335772v1
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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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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
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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

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

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

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
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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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Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling

Etienne Monier , Thomas Oberlin , Nathalie Brun , Xiaoyan Li , Marcel Tencé
Ultramicroscopy, 2020, 215, pp.112993. ⟨10.1016/j.ultramic.2020.112993⟩
Journal articles hal-02949156v1
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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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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
Neurocomputing, 2020, 385, pp.132-147. ⟨10.1016/j.neucom.2019.12.068⟩
Journal articles hal-02887755v1
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Simulated JWST data sets for multispectral and hyperspectral image fusion

Claire Guilloteau , Thomas Oberlin , Olivier Berné , Émilie Habart , Nicolas Dobigeon
The Astronomical Journal, 2020, 160 (1), pp.0. ⟨10.3847/1538-3881/ab9301⟩
Journal articles hal-02886110v1
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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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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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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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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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Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images

Vinicius Ferraris , Nicolas Dobigeon , Yanna Cruz Cavalcanti , Thomas Oberlin , Marie Chabert
Computer Vision and Image Understanding, 2019, 189, pp.1-15. ⟨10.1016/j.cviu.2019.102817⟩
Journal articles hal-02397250v1
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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

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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Factor analysis of dynamic PET images: beyond Gaussian noise

Yanna Cruz Cavalcanti , Thomas Oberlin , Nicolas Dobigeon , Cédric Févotte , Simon Stute
IEEE Transactions on Medical Imaging, 2019, 38 (9), pp.2231-2241. ⟨10.1109/TMI.2019.2906828⟩
Journal articles hal-02376777v1
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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
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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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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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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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Reconstruction of partially sampled multi-band images - Application to STEM-EELS Imaging

Etienne Monier , Thomas Oberlin , Nathalie Brun , Marcel Tencé , Maria de Frutos
IEEE Transactions on Computational Imaging, 2018, 4 (4), pp.585-598. ⟨10.1109/TCI.2018.2866961⟩
Journal articles hal-02181994v1
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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
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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Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects

Abderrahim Halimi , José Bioucas Dias , Nicolas Dobigeon , Gerald S. Buller , Stephen Mc Laughlin
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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Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising

Jordan Frecon , Nelly Pustelnik , Nicolas Dobigeon , Herwig Wendt , Patrice Abry
IEEE Transactions on Signal Processing, 2017, 65 (19), pp.5215-5224. ⟨10.1109/TSP.2017.2715000⟩
Journal articles hal-01887965v1
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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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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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Fast Single Image Super-Resolution Using a New Analytical Solution for l2–l2 Problems

Ningning Zhao , Qi Wei , Adrian Basarab , Nicolas Dobigeon , Denis Kouamé
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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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
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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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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
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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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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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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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
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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Multiband Image Fusion Based on Spectral Unmixing

Qi Wei , José M. Bioucas-Dias , Nicolas Dobigeon , Jean-Yves Tourneret , Marcus Chen
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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Bayesian Estimation of the Multifractality Parameter for Image Texture Using a Whittle Approximation

Sébastien Combrexelle , Herwig Wendt , Nicolas Dobigeon , Jean-Yves Tourneret , Stephen Mclaughlin
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 Pansharpening: A Review

Laetitia Loncan , Luís Almeida , José M Bioucas-Dias , Xavier Briottet , Jocelyn Chanussot
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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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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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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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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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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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 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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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
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 unmixing of hyperspectral images: Models and algorithms

Nicolas Dobigeon , Jean-Yves Tourneret , Cédric Richard , José Carlos M. Bermudez , Steve Mclaughlin
IEEE Signal Processing Magazine, 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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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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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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Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models

Marcelo Alejandro 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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Unsupervised Bayesian linear unmixing of gene expression microarrays

Cécile Bazot , Nicolas Dobigeon , Jean-Yves Tourneret , Aimee K. Zaas , Geoffrey S. Ginsburg
BMC Bioinformatics, 2013, Vol. 14, ⟨10.1186/1471-2105-14-99⟩
Journal articles hal-00858969v1
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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, 22 (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, 2012, 22 (4), pp.1267-1276. ⟨10.1109/TIP.2012.2210235⟩
Journal articles hal-00786063v1
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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 image unmixing using a multiresolution sticky HDP

Roni Mittelman , Nicolas Dobigeon , Alfred Hero
IEEE Transactions on Signal Processing, 2012, 30 (4), pp.1656--1671. ⟨10.1109/TSP.2011.2180718⟩
Journal articles hal-04240678v1
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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

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-04240684v1
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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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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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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), ⟨10.1109/TIP.2012.2187668⟩
Journal articles hal-04458456v1
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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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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

José M. Bioucas-Dias , Antonio Plaza , Nicolas Dobigeon , Mario Parente , Qian Du
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

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-04240680v1

Enhancing hyperspectral image unmixing with spatial correlations

Olivier Eches , Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Geoscience and Remote Sensing, 2011, 49 (11), pp.4239--4247. ⟨10.1109/TGRS.2011.2140119⟩
Journal articles hal-04241314v1
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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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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
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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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
Traitement du Signal, 2010, 27 (1), pp.79-108. ⟨10.3166/ts.27.79-108⟩
Journal articles hal-03549075v1

Bayesian Orthogonal Component Analysis for Sparse Representation

Nicolas Dobigeon , Jean-Yves Tourneret
IEEE Transactions on Signal Processing, 2010, 58 (5), pp.2675-2685. ⟨10.1109/TSP.2010.2041594⟩
Journal articles hal-04246321v1
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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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Implementation strategies for hyperspectral unmixing using Bayesian source separation.

Frédéric Schmidt , Albrecht Schmidt , Erwan Tréguier , Maël Guiheneuf , Saïd Moussaoui
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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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

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery

Nicolas Dobigeon , Saïd Moussaoui , Martial Coulon , Jean-Yves Tourneret , Alfred Hero
IEEE Transactions on Signal Processing, 2009, 57 (11), pp.4355-4368. ⟨10.1109/TSP.2009.2025797⟩
Journal articles hal-00455585v1
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Bayesian separation of spectral sources under non-negativity and full additivity constraints

Nicolas Dobigeon , Saïd Moussaoui , Jean-Yves Tourneret , Cedric Carteret
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
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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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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

Nicolas Dobigeon , Jean-Yves Tourneret , Chein-I Chang
IEEE Transactions on Signal Processing, 2008, 56 (7), pp.2684--2695. ⟨10.1109/TSP.2008.917851⟩
Journal articles hal-04251219v1

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
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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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Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model

Nicolas Dobigeon , Jean-Yves Tourneret , Jeffrey D. Scargle
IEEE Transactions on Signal Processing, 2007, 55 (2), pp.414-423. ⟨10.1109/TSP.2006.885768⟩
Journal articles hal-04281295v1
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Joint segmentation of wind speed and direction using a hierarchical model

Nicolas Dobigeon , Jean-Yves Tourneret
Computational Statistics and Data Analysis, 2007, 51 (12), pp.5603--5621. ⟨10.1016/j.csda.2007.04.016⟩
Journal articles hal-00474912v1
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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 Transactions on Signal Processing, 2007, 55 (4), pp.1251-1263. ⟨10.1109/TSP.2006.889090⟩
Journal articles hal-04456567v1

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 Multivariate Astronomical Time-Series: Bayesian Sampling with a Hierarchical Model

Nicolas Dobigeon , Jean-Yves Tourneret , Jeffrey Scargle
IEEE Transactions on Signal Processing, 2007, 55 (2), pp.414--423. ⟨10.1109/TSP.2006.885768⟩
Journal articles hal-04251224v1

Mont’Prospect2.0

Marie-Claude Bal , François Baleux , Carine Calastrenc , Pierre Campmajo , Nicolas Dobigeon
Journée de restitution Nouvelles frontières de l'archéologie 2024, CNRS - MITI, Jan 2024, Paris, France
Conference papers hal-04425679v1
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Méthode MCMC plug-and-play avec a priori génératif profond

Florentin Coeurdoux , Nicolas Dobigeon , Pierre Chainais
XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. pp.173--176
Conference papers hal-04154783v1
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Prospecter les montagnes autrement

Carine Calastrenc , Christine Rendu , Nicolas Poirier , François Baleux , Pierre Campmajo
Séminaire de laboratoire TRACES, Laboratoire TRACES (UMR 5608) - Toulouse, Oct 2023, Toulouse, France
Conference papers hal-04244922v1
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Prospecter autrement les montagnes

Marie-Claude Bal , François Baleux , Carine Calastrenc , Pierre Campmajo , Nicolas Dobigeon
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
Conference papers hal-04264333v1
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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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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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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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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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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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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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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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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
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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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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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 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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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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Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise

Yanna Cruz Cavalcanti , Thomas Oberlin , Nicolas Dobigeon , Cédric Févotte , Simon Stute
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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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
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 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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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
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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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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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
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
27th European Signal Processing Conference (EUSIPCO 2019), Sep 2019, A Coruna, Spain. pp.1-5
Conference papers hal-02442017v1
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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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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

Prédiction des services écosystémiques dans les paysages agricoles par télédétection hyperspectrale

Mathieu Fauvel , Rémi Duflot , Tatsumi Uezato , Nicolas Dobigeon , Aude Vialatte
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
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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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
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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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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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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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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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Bayesian-driven criterion to automatically select the regularization parameter in the l1-Potts model

Jordan Frecon , Nelly Pustelnik , Nicolas Dobigeon , Herwig Wendt , Patrice Abry
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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Reconstruction of randomly and partially sampled STEM spectrum-images

Etienne Monier , Thomas Oberlin , Nathalie Brun , Marcel Tencé , Nicolas Dobigeon
Microscopy and Microanalysis Meeting (M&M 2017), Aug 2017, Saint-Louis, Missouri, United States. pp.170-171
Conference papers hal-03658140v1

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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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
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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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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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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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Démélange d'images TEP dynamiques

Yanna Cruz Cavalcanti , Thomas Oberlin , Nicolas Dobigeon , Simon Stute , Clovis Tauber
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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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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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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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

Ecosystem services assessment using hyperspectral images

Mathieu Fauvel , Tatsumi Uezato , Rémi Duflot , Nicolas Dobigeon , Aude Vialatte
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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Sélection du paramètre de régularisation dans le problème l2-Potts

Jordan Frécon , Nelly Pustelnik , Nicolas Dobigeon , Herwig Wendt , Patrice Abry
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-03658149v1
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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
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
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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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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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Blind model-based fusion of multi-band and panchromatic images

Qi Wei , José M. Bioucas-Dias , Nicolas Dobigeon , Jean-Yves Tourneret , Simon Godsill
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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High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing

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

Jessica Sodjo , Audrey Giremus , François Caron , Jean-François Giovannelli , Nicolas Dobigeon
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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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
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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Unmixing multitemporal hyperspectral images accounting for endmember variability

Abderrahim Halimi , Nicolas Dobigeon , Jean-Yves Tourneret , Stephen Mclaughlin , Paul Honeine
23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 1686-1690
Conference papers hal-01363316v1
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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
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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 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
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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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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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