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ORCIDNicolas Dobigeon
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2020 – today
- 2024
[j86]Xiao Zhang
, Ismaël Cognard, Nicolas Dobigeon:
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference - Application to pulsar observations. Astron. Comput. 47: 100822 (2024)- [j85]Jin-Ju Wang, Nicolas Dobigeon, Marie Chabert, Ding-Cheng Wang, Ting-Zhu Huang, Jie Huang:
CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors. Inf. Fusion 107: 102313 (2024) - [j84]Min Zhao, Jie Chen, Nicolas Dobigeon:
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j83]Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference. IEEE Trans. Image Process. 33: 3496-3507 (2024) - [c82]Elhadji C. Faye, Mame Diarra Fall, Aladine Chetouani, Nicolas Dobigeon:
Bayesian Formulation of Regularization by Denoising - Model and Monte Carlo Sampling. MMSP 2024: 1-5 - [i36]Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon:
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling. CoRR abs/2402.12292 (2024) - [i35]Xiao Zhang, Ismaël Cognard, Nicolas Dobigeon:
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference - Application to pulsar observations. CoRR abs/2402.13867 (2024) - 2023
- [j82]Taner Ince, Nicolas Dobigeon:
A Fast Spatial-Spectral NMF for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j81]Taner Ince, Nicolas Dobigeon:
Spatial-Spectral Multiscale Sparse Unmixing for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j80]Yanna Cruz Cavalcanti, Thomas Oberlin, Vinicius Ferraris, Nicolas Dobigeon, Maria Ribeiro, Clovis Tauber:
Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images. Medical Image Anal. 84: 102689 (2023) - [j79]Nerya Granot, Tzvi Diskin, Nicolas Dobigeon, Ami Wiesel:
Probabilistic Simplex Component Analysis by Importance Sampling. IEEE Signal Process. Lett. 30: 683-687 (2023) - [j78]Min Zhao, Nicolas Dobigeon, Jie Chen:
Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems. IEEE Trans. Image Process. 32: 5692-5704 (2023) - [i34]Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference. CoRR abs/2304.11134 (2023) - [i33]Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
Normalizing flow sampling with Langevin dynamics in the latent space. CoRR abs/2305.12149 (2023) - [i32]Min Zhao, Nicolas Dobigeon, Jie Chen:
Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems. CoRR abs/2306.17197 (2023) - [i31]Min Zhao, Jie Chen, Nicolas Dobigeon:
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. CoRR abs/2307.00269 (2023) - 2022
- [j77]Taner Ince, Nicolas Dobigeon:
Weighted Residual NMF With Spatial Regularization for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j76]Taner Ince, Nicolas Dobigeon:
Fast Hyperspectral Unmixing Using a Multiscale Sparse Regularization. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j75]Maxime Vono, Nicolas Dobigeon, Pierre Chainais:
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm. SIAM Rev. 64(1): 3-56 (2022) - [j74]Min Zhao, Shuaikai Shi, Jie Chen, Nicolas Dobigeon:
A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c81]Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training. ESANN 2022 - [c80]Mame Diarra Fall, Nicolas Dobigeon, Pascal Auzou:
A Bayesian Estimation Formulation to Voxel-Based Lesion-Symptom Mapping. EUSIPCO 2022: 2201-2205 - [c79]Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon:
Informed Spatial Regularizations For Fast Fusion Of Astronomical Images. ICIP 2022: 2221-2225 - [c78]Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows. ECML/PKDD (5) 2022: 275-290 - [i30]Jin-Ju Wang, Nicolas Dobigeon, Marie Chabert, Ding-Cheng Wang, Jie Huang, Ting-Zhu Huang:
CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images. CoRR abs/2203.00948 (2022) - [i29]Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows. CoRR abs/2207.01246 (2022) - [i28]Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training. CoRR abs/2207.05468 (2022) - 2021
- [j73]Maxime Vono, Nicolas Dobigeon, Pierre Chainais:
Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms. J. Comput. Graph. Stat. 30(2): 335-348 (2021) - [j72]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. SIAM J. Imaging Sci. 14(4): 1848-1889 (2021) - 2020
- [j71]Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon:
Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis. Neurocomputing 385: 132-147 (2020) - [j70]Vinicius Ferraris, Nicolas Dobigeon, Marie Chabert:
Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study. Inf. Fusion 64: 293-317 (2020) - [j69]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability. Remote. Sens. 12(14): 2326 (2020) - [j68]Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon:
Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs - Application to High Dimensional Infrared Astronomical Imaging. IEEE Trans. Computational Imaging 6: 1362-1374 (2020) - [j67]Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
Matrix Cofactorization for Joint Spatial-Spectral Unmixing of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58(7): 4915-4927 (2020) - [c77]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. EUSIPCO 2020: 1951-1955 - [c76]Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert:
Unsupervised Change Detection for Multimodal Remote Sensing Images via Coupled Dictionary Learning and Sparse Coding. ICASSP 2020: 4627-4631 - [c75]Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon:
Fusion of hyperspectral and multispectral infrared astronomical images. SAM 2020: 1-5 - [i27]Étienne Monier, Thomas Oberlin, Nathalie Brun, Xiaoyan Li, Marcel Tencé, Nicolas Dobigeon:
Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. CoRR abs/2002.01225 (2020) - [i26]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably robust blind source separation of linear-quadratic near-separable mixtures. CoRR abs/2011.11966 (2020)
2010 – 2019
- 2019
- [j66]Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, François Caron:
A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images. IEEE Access 7: 120176-120188 (2019) - [j65]Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert:
Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images. Comput. Vis. Image Underst. 189 (2019) - [j64]Shaheera Rashwan, Nicolas Dobigeon, Walaa M. Sheta, Hanan A. Hassan:
Non-linear unmixing of hyperspectral images using multiple-kernel self-organising maps. IET Image Process. 13(12): 2190-2195 (2019) - [j63]Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning. Pattern Recognit. 85: 26-36 (2019) - [j62]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Partially Asynchronous Distributed Unmixing of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57(4): 2009-2021 (2019) - [j61]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity. IEEE Trans. Geosci. Remote. Sens. 57(6): 3980-3992 (2019) - [j60]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber:
Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise. IEEE Trans. Medical Imaging 38(9): 2231-2241 (2019) - [j59]Maxime Vono, Nicolas Dobigeon, Pierre Chainais:
Split-and-Augmented Gibbs Sampler - Application to Large-Scale Inference Problems. IEEE Trans. Signal Process. 67(6): 1648-1661 (2019) - [c74]Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon:
Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images. EUSIPCO 2019: 1-5 - [c73]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Clovis Tauber:
Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise. ICASSP 2019: 1373-1377 - [c72]Maxime Vono, Nicolas Dobigeon, Pierre Chainais:
Bayesian Image Restoration under Poisson Noise and Log-concave Prior. ICASSP 2019: 1712-1716 - [c71]Maxime Vono, Nicolas Dobigeon, Pierre Chainais:
Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models. ICASSP 2019: 5037-5041 - [i25]Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon:
Matrix Cofactorization for Joint Representation Learning and Supervised Classification - Application to Hyperspectral Image Analysis. CoRR abs/1902.02597 (2019) - [i24]Maxime Vono, Nicolas Dobigeon, Pierre Chainais:
Asymptotically exact data augmentation: models, properties and algorithms. CoRR abs/1902.05754 (2019) - [i23]Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images. CoRR abs/1907.08511 (2019) - [i22]Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon:
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs - Application to high dimensional infrared astronomical imaging. CoRR abs/1912.11868 (2019) - 2018
- [j58]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria Ribeiro, Clovis Tauber:
Unmixing dynamic PET images with variable specific binding kinetics. Medical Image Anal. 49: 117-127 (2018) - [j57]Huanfeng Shen, Xiuping Jia, José M. Bioucas-Dias, Nicolas Dobigeon, Yi Cui, Fabio Pacifici:
Foreword to the Special Issue on Quality Improvements of Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 687-690 (2018) - [j56]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images. IEEE Trans. Computational Imaging 4(1): 32-45 (2018) - [j55]Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon:
Reconstruction of Partially Sampled Multiband Images - Application to STEM-EELS Imaging. IEEE Trans. Computational Imaging 4(4): 585-598 (2018) - [j54]Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert:
Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: A Fusion-Based Approach. IEEE Trans. Geosci. Remote. Sens. 56(3): 1566-1578 (2018) - [j53]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization. IEEE Trans. Geosci. Remote. Sens. 56(7): 4098-4108 (2018) - [c70]Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images. ICASSP 2018: 3399-3403 - [c69]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Lidar-Driven Spatial Regularization for Hyperspectral Unmixing. IGARSS 2018: 1740-1743 - [c68]Vinicius Ferraris, Naoto Yokoya, Nicolas Dobigeon, Marie Chabert:
A Comparative Study of Fusion-Based Change Detection Methods for Multi-Band Images with Different Spectral and Spatial Resolutions. IGARSS 2018: 5021-5024 - [c67]Maxime Vono, Nicolas Dobigeon, Pierre Chainais:
Sparse Bayesian Binary logistic Regression using the Split-and-Augmented Gibbs sampler. MLSP 2018: 1-6 - [c66]Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Maria de Frutos, Nicolas Dobigeon:
Reconstruction Of Partially Sampled EELS Images. WHISPERS 2018: 1-5 - [c65]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing. WHISPERS 2018: 1-5 - [d1]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Data Set: Hyperspectral image unmixing with LiDAR data-aided spatial regularization. Zenodo, 2018
- [i21]Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon:
Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging. CoRR abs/1802.10066 (2018) - [i20]Vinicius Ferraris, Nicolas Dobigeon, Marie Chabert:
Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study. CoRR abs/1804.03068 (2018) - [i19]Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert:
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images. CoRR abs/1807.08118 (2018) - [i18]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber:
Factor analysis of dynamic PET images: beyond Gaussian noise. CoRR abs/1807.11455 (2018) - 2017
- [j52]Shaheera Rashwan, Nicolas Dobigeon:
A Split-and-Merge Approach for Hyperspectral Band Selection. IEEE Geosci. Remote. Sens. Lett. 14(8): 1378-1382 (2017) - [j51]Abderrahim Halimi, José M. Bioucas-Dias, Nicolas Dobigeon, Gerald S. Buller, Stephen McLaughlin:
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodeling Effects. IEEE Trans. Computational Imaging 3(2): 146-159 (2017) - [j50]Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert:
Robust Fusion of Multiband Images With Different Spatial and Spectral Resolutions for Change Detection. IEEE Trans. Computational Imaging 3(2): 175-186 (2017) - [j49]Clement Elvira, Pierre Chainais, Nicolas Dobigeon:
Bayesian Antisparse Coding. IEEE Trans. Signal Process. 65(7): 1660-1672 (2017) - [j48]Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry:
Bayesian Selection for the ℓ2-Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising. IEEE Trans. Signal Process. 65(19): 5215-5224 (2017) - [c64]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Clovis Tauber:
Unmixing dynamic PET images with a PALM algorithm. EUSIPCO 2017: 425-429 - [c63]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations. EUSIPCO 2017: 2378-2382 - [c62]Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, Jean-François Giovannelli:
A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images. ICASSP 2017: 1882-1886 - [c61]Clement Elvira, Pierre Chainais, Nicolas Dobigeon:
Bayesian nonparametric subspace estimation. ICASSP 2017: 2247-2251 - [c60]Abderrahim Halimi, José M. Bioucas-Dias, Nicolas Dobigeon, Gerald S. Buller, Steve McLaughlin:
Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities. ICASSP 2017: 3111-3115 - [c59]Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert:
Change detection between multi-band images using a robust fusion-based approach. ICASSP 2017: 3346-3350 - [c58]Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry:
Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model. ICASSP 2017: 3839-3843 - [i17]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria Ribeiro, Clovis Tauber:
Unmixing dynamic PET images for voxel-based kinetic component analysis. CoRR abs/1707.09867 (2017) - [i16]Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning. CoRR abs/1712.00368 (2017) - 2016
- [j47]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon J. Godsill:
R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation. IEEE Signal Process. Lett. 23(11): 1632-1636 (2016) - [j46]Nelly Pustelnik, Herwig Wendt, Patrice Abry, Nicolas Dobigeon:
Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation. IEEE Trans. Computational Imaging 2(4): 468-479 (2016) - [j45]Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Mathieu Albinet, Christophe Goldstein, Nadia Karouche:
Detection and Correction of Glitches in a Multiplexed Multichannel Data Stream - Application to the MADRAS Instrument. IEEE Trans. Geosci. Remote. Sens. 54(5): 2803-2811 (2016) - [j44]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill:
Multiband Image Fusion Based on Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 54(12): 7236-7249 (2016) - [j43]Ningning Zhao, Qi Wei, Adrian Basarab, Nicolas Dobigeon, Denis Kouame, Jean-Yves Tourneret:
Fast Single Image Super-Resolution Using a New Analytical Solution for ℓ2-ℓ2 Problems. IEEE Trans. Image Process. 25(8): 3683-3697 (2016) - [j42]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability. IEEE Trans. Image Process. 25(9): 3979-3990 (2016) - [j41]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model. IEEE Trans. Signal Process. 64(2): 525-538 (2016) - [c57]Qi Wei, Simon J. Godsill, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret:
High-resolution hyperspectral image fusion based on spectral unmixing. FUSION 2016: 1714-1719 - [c56]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Unmixing multitemporal hyperspectral images with variability: An online algorithm. ICASSP 2016: 3351-3355 - [c55]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Simon J. Godsill:
Blind model-based fusion of multi-band and panchromatic images. MFI 2016: 21-25 - [c54]Clement Elvira, Pierre Chainais, Nicolas Dobigeon:
Democratic prior for anti-sparse coding. SSP 2016: 1-4 - [c53]Jessica Sodjo, Audrey Giremus, François Caron, Jean-François Giovannelli, Nicolas Dobigeon:
Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach. SSP 2016: 1-5 - [i15]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill:
Multi-Band Image Fusion Based on Spectral Unmixing. CoRR abs/1603.08720 (2016) - [i14]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon J. Godsill:
R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation. CoRR abs/1604.01818 (2016) - [i13]Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry:
Bayesian selection for the regularization parameter in TVl0 denoising problems. CoRR abs/1608.07739 (2016) - [i12]Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert:
Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: a Fusion-Based Approach. CoRR abs/1609.06074 (2016) - [i11]Vinicius Ferraris, Nicolas Dobigeon, Qi Wei, Marie Chabert:
Robust Fusion of Multi-Band Images with Different Spatial and Spectral Resolutions for Change Detection. CoRR abs/1609.06076 (2016) - 2015
- [j40]Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon:
Toward Fast Transform Learning. Int. J. Comput. Vis. 114(2-3): 195-216 (2015) - [j39]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian Fusion of Multi-Band Images. IEEE J. Sel. Top. Signal Process. 9(6): 1117-1127 (2015) - [j38]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret:
Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 53(7): 3658-3668 (2015) - [j37]Sébastien Combrexelle, Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Stephen McLaughlin, Patrice Abry:
Bayesian Estimation of the Multifractality Parameter for Image Texture Using a Whittle Approximation. IEEE Trans. Image Process. 24(8): 2540-2551 (2015) - [j36]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret:
Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation. IEEE Trans. Image Process. 24(11): 4109-4121 (2015) - [j35]Cédric Févotte, Nicolas Dobigeon:
Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization. IEEE Trans. Image Process. 24(12): 4810-4819 (2015) - [j34]Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability. IEEE Trans. Image Process. 24(12): 4904-4917 (2015) - [c52]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret:
Fuse: A fast multi-band image fusion algorithm. CAMSAP 2015: 161-164 - [c51]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
A perturbed linear mixing model accounting for spectral variability. EUSIPCO 2015: 814-818 - [c50]