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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) - [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]Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin, Paul Honeine:
Unmixing multitemporal hyperspectral images accounting for endmember variability. EUSIPCO 2015: 1656-1660 - [c49]Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine:
A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability. ICASSP 2015: 2469-2473 - [c48]Sébastien Combrexelle, Herwig Wendt, Patrice Abry, Nicolas Dobigeon, Stephen McLaughlin, Jean-Yves Tourneret:
A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation. ICASSP 2015: 3886-3890 - [c47]Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine:
Hyperspectral unmixing accounting for spatial correlations and endmember variability. WHISPERS 2015: 1-4 - [c46]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method. WHISPERS 2015: 1-5 - [i10]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret:
Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation. CoRR abs/1502.03121 (2015) - [i9]Laëtitia Loncan, Luís B. Almeida, José M. Bioucas-Dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio A. Licciardi, Miguel Simões, Jean-Yves Tourneret, Miguel Angel Veganzones, Gemine Vivone, Qi Wei, Naoto Yokoya:
Hyperspectral pansharpening: a review. CoRR abs/1504.04531 (2015) - [i8]Nelly Pustelnik, Herwig Wendt, Patrice Abry, Nicolas Dobigeon:
Local regularity, wavelet leaders and total variation based procedures for texture segmentation. CoRR abs/1504.05776 (2015) - [i7]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret:
Fast Spectral Unmixing based on Dykstra's Alternating Projection. CoRR abs/1505.01740 (2015) - [i6]Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret:
Online unmixing of multitemporal hyperspectral images accounting for spectral variability. CoRR abs/1510.05893 (2015) - 2014
- [j33]Se Un Park, Nicolas Dobigeon, Alfred O. Hero III:
Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM. Signal Process. 94: 386-400 (2014) - [j32]Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret:
Computing the Cramer-Rao Bound of Markov Random Field Parameters: Application to the Ising and the Potts Models. IEEE Signal Process. Lett. 21(1): 47-50 (2014) - [j31]Nicolas Dobigeon, Jean-Yves Tourneret, Cédric Richard, José C. M. Bermudez, Steve McLaughlin, Alfred O. Hero III:
Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms. IEEE Signal Process. Mag. 31(1): 82-94 (2014) - [j30]Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin:
A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1869-1878 (2014) - [j29]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection. IEEE Trans. Image Process. 23(5): 2148-2158 (2014) - [j28]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm. IEEE Trans. Image Process. 23(6): 2663-2675 (2014) - [c45]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret:
Fusion of multispectral and hyperspectral images based on sparse representation. EUSIPCO 2014: 1577-1581 - [c44]Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry:
Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising. EUSIPCO 2014: 1716-1720 - [c43]Lotfi Chaâri, Hadj Batatia, Nicolas Dobigeon, Jean-Yves Tourneret:
A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization. ICASSP 2014: 1901-1905 - [c42]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection. ICASSP 2014: 3166-3170 - [c41]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian fusion of hyperspectral and multispectral images. ICASSP 2014: 3176-3180 - [c40]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response. ICIP 2014: 698-702 - [c39]Nelly Pustelnik, Patrice Abry, Herwig Wendt, Nicolas Dobigeon:
Inverse problem formulation for regularity estimation in images. ICIP 2014: 6081-6085 - [c38]Yoann Altmann, Steve McLaughlin, Nicolas Dobigeon:
Sampling from a multivariate Gaussian distribution truncated on a simplex: A review. SSP 2014: 113-116 - [c37]Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin:
Nonlinear unmixing of vegetated areas: A model comparison based on simulated and real hyperspectral data. WHISPERS 2014: 1-4 - [i5]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret:
Hyperspectral and Multispectral Image Fusion based on a Sparse Representation. CoRR abs/1409.5729 (2014) - [i4]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - [i3]Sébastien Combrexelle, Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry:
Bayesian estimation of the multifractality parameter for image texture using a Whittle approximation. CoRR abs/1410.4871 (2014) - 2013
- [j27]Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tourneret, Aimee K. Zaas, Geoffrey S. Ginsburg, Alfred O. Hero III:
Unsupervised Bayesian linear unmixing of gene expression microarrays. BMC Bioinform. 14: 99 (2013) - [j26]Olivier Eches, Jón Atli Benediktsson, Nicolas Dobigeon, Jean-Yves Tourneret:
Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images. IEEE Trans. Image Process. 22(1): 5-16 (2013) - [j25]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model. IEEE Trans. Image Process. 22(4): 1267-1276 (2013) - [j24]Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret:
Estimating the Granularity Coefficient of a Potts-Markov Random Field Within a Markov Chain Monte Carlo Algorithm. IEEE Trans. Image Process. 22(6): 2385-2397 (2013) - [j23]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Nonlinear Spectral Unmixing of Hyperspectral Images Using Gaussian Processes. IEEE Trans. Signal Process. 61(10): 2442-2453 (2013) - [c36]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model. EUSIPCO 2013: 1-5 - [c35]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, José Carlos M. Bermudez:
A robust test for nonlinear mixture detection in hyperspectral images. ICASSP 2013: 2149-2153 - [c34]Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Patrice Abry:
Bayesian estimation for the multifractality parameter. ICASSP 2013: 6556-6560 - [c33]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin:
Nonlinear hyperspectral unmixing using Gaussian processes. WHISPERS 2013: 1-4 - [c32]Nicolas Dobigeon, Cédric Févotte:
Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images. WHISPERS 2013: 1-4 - [i2]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian Fusion of Multi-Band Images. CoRR abs/1307.5996 (2013) - 2012
- [b1]Nicolas Dobigeon:
Inférence bayésienne dans des problèmes inverses, myopes et aveugles en traitement du signal et des images. National Polytechnic Institute of Toulouse, France, 2012 - [j22]José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, Paul D. Gader, Jocelyn Chanussot:
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 354-379 (2012) - [j21]Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery. IEEE Trans. Image Process. 21(6): 3017-3025 (2012) - [j20]Se Un Park, Nicolas Dobigeon, Alfred O. Hero III:
Semi-Blind Sparse Image Reconstruction With Application to MRFM. IEEE Trans. Image Process. 21(9): 3838-3849 (2012) - [j19]Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret:
Segmentation of Skin Lesions in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model. IEEE Trans. Medical Imaging 31(8): 1509-1520 (2012) - [j18]Roni Mittelman, Nicolas Dobigeon, Alfred O. Hero III:
Hyperspectral Image Unmixing Using a Multiresolution Sticky HDP. IEEE Trans. Signal Process. 60(4): 1656-1671 (2012) - [j17]Georg Kail, Jean-Yves Tourneret, Franz Hlawatsch, Nicolas Dobigeon:
Blind Deconvolution of Sparse Pulse Sequences Under a Minimum Distance Constraint: A Partially Collapsed Gibbs Sampler Method. IEEE Trans. Signal Process. 60(6): 2727-2743 (2012) - [j16]Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret:
CS Decomposition Based Bayesian Subspace Estimation. IEEE Trans. Signal Process. 60(8): 4210-4218 (2012) - [c31]Se Un Park, Nicolas Dobigeon, Alfred O. Hero III:
Variational semi-blind sparse image reconstruction with application to MRFM. Computational Imaging 2012: 82960G - [c30]Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tourneret, Alfred O. Hero III:
Bayesian linear unmixing of time-evolving gene expression data using a hidden Markov model. EUSIPCO 2012: 944-948 - [c29]Nicolas Dobigeon, Adrian Basarab, Denis Kouame, Jean-Yves Tourneret:
Regularized Bayesian compressed sensing in ultrasound imaging. EUSIPCO 2012: 2600-2604 - [c28]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Unsupervised nonlinear unmixing of hyperspectral images using Gaussian processes. ICASSP 2012: 1249-1252 - [c27]Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian subspace estimation using CS decomposition. ICASSP 2012: 2437-2440 - [c26]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Detecting nonlinear mixtures in hyperspectral images. WHISPERS 2012: 1-4 - 2011
- [j15]Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model. IEEE Trans. Geosci. Remote. Sens. 49(11): 4153-4162 (2011) - [j14]Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret:
Enhancing Hyperspectral Image Unmixing With Spatial Correlations. IEEE Trans. Geosci. Remote. Sens. 49(11): 4239-4247 (2011) - [j13]Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret:
Minimum Mean Square Distance Estimation of a Subspace. IEEE Trans. Signal Process. 59(12): 5709-5720 (2011) - [c25]Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian estimation of a subspace. ACSCC 2011: 629-633 - [c24]Celine Quinsac, Nicolas Dobigeon, Adrian Basarab, Denis Kouame, Jean-Yves Tourneret:
Bayesian compressed sensing in ultrasound imaging. CAMSAP 2011: 101-104 - [c23]Se Un Park, Nicolas Dobigeon, Alfred O. Hero III:
Myopic sparse image reconstruction with application to MRFM. Computational Imaging 2011: 787303 - [c22]Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret:
Segmentation of ultrasound images using a spatially coherent generalized Rayleigh mixture model. EUSIPCO 2011: 664-668 - [c21]Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret:
Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model. ICASSP 2011: 729-732 - [c20]Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret, Hichem Snoussi:
Variational methods for spectral unmixing of hyperspectral images. ICASSP 2011: 957-960 - [c19]Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery. ICASSP 2011: 1009-1012 - [c18]Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tourneret, Alfred O. Hero III:
A Bernoulli-Gaussian model for gene factor analysis. ICASSP 2011: 5996-5999 - [c17]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin:
Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares. IGARSS 2011: 1151-1154 - [c16]Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
A post nonlinear mixing model for hyperspectral images unmixing. IGARSS 2011: 1882-1885 - [c15]Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Unmixing hyperspectral images using the generalized bilinear model. IGARSS 2011: 1886-1889 - [c14]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Bilinear models for nonlinear unmixing of hyperspectral images. WHISPERS 2011: 1-4 - [c13]Olivier Eches, Jón Atli Benediktsson, Nicolas Dobigeon, Jean-Yves Tourneret:
Joint spectral classification and unmixing using adaptative pixel neighborhoods. WHISPERS 2011: 1-4 - [c12]Frédéric Schmidt, Sébastien Bourguignon, Stéphane Le Mouélic, Nicolas Dobigeon, Céline Theys, Erwan Tréguier:
Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/Mars express. WHISPERS 2011: 1-4 - 2010
- [j12]Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret:
Estimating the Number of Endmembers in Hyperspectral Images Using the Normal Compositional Model and a Hierarchical Bayesian Algorithm. IEEE J. Sel. Top. Signal Process. 4(3): 582-591 (2010) - [j11]Nicolas Dobigeon, Saïd Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero III:
Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d'images hyperspectrales. Traitement du Signal 27(1): 79-108 (2010) - [j10]Frédéric Schmidt, Albrecht Schmidt, Erwan Tréguier, Maël Guiheneuf, Saïd Moussaoui, Nicolas Dobigeon:
Implementation Strategies for Hyperspectral Unmixing Using Bayesian Source Separation. IEEE Trans. Geosci. Remote. Sens. 48(11): 4003-4013 (2010) - [j9]Olivier Eches, Nicolas Dobigeon, Corinne Mailhes, Jean-Yves Tourneret:
Bayesian Estimation of Linear Mixtures Using the Normal Compositional Model. Application to Hyperspectral Imagery. IEEE Trans. Image Process. 19(6): 1403-1413 (2010) - [j8]Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian orthogonal component analysis for sparse representation. IEEE Trans. Signal Process. 58(5): 2675-2685 (2010) - [c11]Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret:
A reversible-jump mcmc algorithm for estimating the number of endmembers in the normal compositional model application to the unmixing of hyperspectral images. ICASSP 2010: 1222-1225 - [c10]Georg Kail, Jean-Yves Tourneret, Franz Hlawatsch, Nicolas Dobigeon:
A partially collapsed Gibbs sampler for parameters with local constraints. ICASSP 2010: 3886-3889 - [c9]Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret:
Markov random fields for joint unmixing and segmentation of hyperspectral images. WHISPERS 2010: 1-4 - [c8]Frédéric Schmidt, Albrecht Schmidt, Erwan Tréguier, Maël Guiheneuf, Saïd Moussaoui, Nicolas Dobigeon:
Accuracy and performance of optimized Bayesian Source Separation for hyperspectral unmixing. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j7]Nicolas Dobigeon, Saïd Moussaoui, Jean-Yves Tourneret, Cédric Carteret:
Bayesian separation of spectral sources under non-negativity and full additivity constraints. Signal Process. 89(12): 2657-2669 (2009) - [j6]Nicolas Dobigeon, Alfred O. Hero III, Jean-Yves Tourneret:
Hierarchical Bayesian Sparse Image Reconstruction With Application to MRFM. IEEE Trans. Image Process. 18(9): 2059-2070 (2009) - [j5]Nicolas Dobigeon, Saïd Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero III:
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery. IEEE Trans. Signal Process. 57(11): 4355-4368 (2009) - [c7]Nicolas Dobigeon, Alfred O. Hero III, Jean-Yves Tourneret:
Bayesian sparse image reconstruction for MRFM. ICASSP 2009: 2933-2936 - [c6]Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret:
An NCM-based Bayesian algorithm for hyperspectral unmixing. WHISPERS 2009: 1-4 - [c5]Frédéric Schmidt, Saïd Moussaoui, Nicolas Dobigeon:
Material identification on martian hyperspectral images using bayesian source separation. WHISPERS 2009: 1-4 - 2008
- [j4]Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Chang:
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery. IEEE Trans. Signal Process. 56(7-1): 2684-2695 (2008) - [c4]Nicolas Dobigeon, Jean-Yves Tourneret, Alfred O. Hero III:
Bayesian linear unmixing of hyperspectral images corrupted by colored Gaussian noise with unknown covariance matrix. ICASSP 2008: 3433-3436 - [i1]Nicolas Dobigeon, Alfred O. Hero III, Jean-Yves Tourneret:
Hierarchical Bayesian sparse image reconstruction with application to MRFM. CoRR abs/0809.3650 (2008) - 2007
- [j3]Nicolas Dobigeon, Jean-Yves Tourneret:
Joint segmentation of wind speed and direction using a hierarchical model. Comput. Stat. Data Anal. 51(12): 5603-5621 (2007) - [j2]Nicolas Dobigeon, Jean-Yves Tourneret, Jeffrey D. Scargle:
Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model. IEEE Trans. Signal Process. 55(2): 414-423 (2007) - [j1]Nicolas Dobigeon, Jean-Yves Tourneret, Manuel Davy:
Joint Segmentation of Piecewise Constant Autoregressive Processes by Using a Hierarchical Model and a Bayesian Sampling Approach. IEEE Trans. Signal Process. 55(4): 1251-1263 (2007) - [c3]Nicolas Dobigeon, Jean-Yves Tourneret:
Spectral Unmixing of Hyperspectral Images using a Hierarchical Bayesian Model. ICASSP (3) 2007: 1209-1212 - 2006
- [c2]Nicolas Dobigeon, Jean-Yves Tourneret, Jeffrey D. Scargle:
Joint segmentation of multivariate Poissonian time series. Application to burst and transient source experiments. EUSIPCO 2006: 1-5 - [c1]Nicolas Dobigeon, Jean-Yves Tourneret, Manuel Davy:
Joint Segmentation of Piecewise Constant Autoregressive Processes by Using a Hierarchical Model and a Bayesian Sampling Approach. ICASSP (3) 2006: 1-4
Coauthor Index
[j62] [j56] [c63] [j47] [j45] [j44] [j43] [j42] [j41] [c57] [c56] [c55] [i15] [i14] [j40] [j39] [j38] [j37] [j36] [j34] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i10] [i9] [i7] [i6] [j32] [j31] [j29] [j28] [c45] [c43] [c42] [c41] [c40] [i5] [i4] [i3] [j27] [j26] [j25] [j24] [j23] [c36] [c35] [c34] [c33] [i2] [j21] [j19] [j17] [j16] [c30] [c29] [c28] [c27] [c26] [j15] [j14] [j13] [c25] [c24] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [j12] [j11] [j9] [j8] [c11] [c10] [c9] [j7] [j6] [j5] [c7] [c6] [j4] [c4] [i1] [j3] [j2] [j1] [c3] [c2] [c1]
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