Nicolas Dobigeon
Orcid: 0000-0001-8127-350X
According to our database1,
Nicolas Dobigeon
authored at least 184 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
2024
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising.
IEEE Trans. Geosci. Remote. Sens., 2024
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference - Application to pulsar observations.
CoRR, 2024
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling.
CoRR, 2024
2023
Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems.
IEEE Trans. Image Process., 2023
IEEE Signal Process. Lett., 2023
Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images.
Medical Image Anal., 2023
IEEE Geosci. Remote. Sens. Lett., 2023
IEEE Geosci. Remote. Sens. Lett., 2023
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising.
CoRR, 2023
Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems.
CoRR, 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference.
CoRR, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm.
SIAM Rev., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images.
CoRR, 2022
Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
SIAM J. Imaging Sci., 2021
J. Comput. Graph. Stat., 2021
2020
IEEE Trans. Geosci. Remote. Sens., 2020
Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs - Application to High Dimensional Infrared Astronomical Imaging.
IEEE Trans. Computational Imaging, 2020
Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability.
Remote. Sens., 2020
Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study.
Inf. Fusion, 2020
Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis.
Neurocomputing, 2020
CoRR, 2020
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
Unsupervised Change Detection for Multimodal Remote Sensing Images via Coupled Dictionary Learning and Sparse Coding.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Trans. Signal Process., 2019
IEEE Trans. Medical Imaging, 2019
Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity.
IEEE Trans. Geosci. Remote. Sens., 2019
IEEE Trans. Geosci. Remote. Sens., 2019
Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning.
Pattern Recognit., 2019
Non-linear unmixing of hyperspectral images using multiple-kernel self-organising maps.
IET Image Process., 2019
Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images.
Comput. Vis. Image Underst., 2019
A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images.
IEEE Access, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
IEEE Trans. Geosci. Remote. Sens., 2018
Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: A Fusion-Based Approach.
IEEE Trans. Geosci. Remote. Sens., 2018
A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images.
IEEE Trans. Computational Imaging, 2018
Reconstruction of Partially Sampled Multiband Images - Application to STEM-EELS Imaging.
IEEE Trans. Computational Imaging, 2018
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Medical Image Anal., 2018
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images.
CoRR, 2018
Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging.
CoRR, 2018
A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Sparse Bayesian Binary logistic Regression using the Split-and-Augmented Gibbs sampler.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
A Comparative Study of Fusion-Based Change Detection Methods for Multi-Band Images with Different Spectral and Spatial Resolutions.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Bayesian Selection for the ℓ<sub>2</sub>-Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising.
IEEE Trans. Signal Process., 2017
IEEE Trans. Computational Imaging, 2017
Robust Fusion of Multiband Images With Different Spatial and Spectral Resolutions for Change Detection.
IEEE Trans. Computational Imaging, 2017
IEEE Geosci. Remote. Sens. Lett., 2017
A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations.
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
2016
Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model.
IEEE Trans. Signal Process., 2016
Fast Single Image Super-Resolution Using a New Analytical Solution for ℓ<sub>2</sub>-ℓ<sub>2</sub> Problems.
IEEE Trans. Image Process., 2016
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability.
IEEE Trans. Image Process., 2016
Detection and Correction of Glitches in a Multiplexed Multichannel Data Stream - Application to the MADRAS Instrument.
IEEE Trans. Geosci. Remote. Sens., 2016
IEEE Trans. Geosci. Remote. Sens., 2016
Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation.
IEEE Trans. Computational Imaging, 2016
R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation.
IEEE Signal Process. Lett., 2016
R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation.
CoRR, 2016
CoRR, 2016
Robust Fusion of Multi-Band Images with Different Spatial and Spectral Resolutions for Change Detection.
CoRR, 2016
Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 19th International Conference on Information Fusion, 2016
2015
IEEE Trans. Image Process., 2015
IEEE Trans. Image Process., 2015
IEEE Trans. Image Process., 2015
Bayesian Estimation of the Multifractality Parameter for Image Texture Using a Whittle Approximation.
IEEE Trans. Image Process., 2015
IEEE Trans. Geosci. Remote. Sens., 2015
Local regularity, wavelet leaders and total variation based procedures for texture segmentation.
CoRR, 2015
Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
Hyperspectral unmixing accounting for spatial correlations and endmember variability.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm.
IEEE Trans. Image Process., 2014
Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection.
IEEE Trans. Image Process., 2014
A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
IEEE Signal Process. Mag., 2014
Computing the Cramer-Rao Bound of Markov Random Field Parameters: Application to the Ising and the Potts Models.
IEEE Signal Process. Lett., 2014
Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM.
Signal Process., 2014
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014
Nonlinear unmixing of vegetated areas: A model comparison based on simulated and real hyperspectral data.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Bayesian fusion of multispectral and hyperspectral images with unknown sensor spectral response.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
IEEE Trans. Signal Process., 2013
Estimating the Granularity Coefficient of a Potts-Markov Random Field Within a Markov Chain Monte Carlo Algorithm.
IEEE Trans. Image Process., 2013
Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images.
IEEE Trans. Image Process., 2013
Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model.
IEEE Trans. Image Process., 2013
BMC Bioinform., 2013
Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
IEEE Trans. Signal Process., 2012
Blind Deconvolution of Sparse Pulse Sequences Under a Minimum Distance Constraint: A Partially Collapsed Gibbs Sampler Method.
IEEE Trans. Signal Process., 2012
IEEE Trans. Signal Process., 2012
Segmentation of Skin Lesions in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model.
IEEE Trans. Medical Imaging, 2012
IEEE Trans. Image Process., 2012
Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery.
IEEE Trans. Image Process., 2012
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
Bayesian linear unmixing of time-evolving gene expression data using a hidden Markov model.
Proceedings of the 20th European Signal Processing Conference, 2012
Proceedings of the Computational Imaging X, 2012
Inférence bayésienne dans des problèmes inverses, myopes et aveugles en traitement du signal et des images.
, 2012
2011
IEEE Trans. Signal Process., 2011
IEEE Trans. Geosci. Remote. Sens., 2011
IEEE Trans. Geosci. Remote. Sens., 2011
Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/Mars express.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model.
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery.
Proceedings of the IEEE International Conference on Acoustics, 2011
Segmentation of ultrasound images using a spatially coherent generalized Rayleigh mixture model.
Proceedings of the 19th European Signal Processing Conference, 2011
Proceedings of the Computational Imaging IX, 2011
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
IEEE Trans. Signal Process., 2010
Bayesian Estimation of Linear Mixtures Using the Normal Compositional Model. Application to Hyperspectral Imagery.
IEEE Trans. Image Process., 2010
Implementation Strategies for Hyperspectral Unmixing Using Bayesian Source Separation.
IEEE Trans. Geosci. Remote. Sens., 2010
Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d'images hyperspectrales.
Traitement du Signal, 2010
Estimating the Number of Endmembers in Hyperspectral Images Using the Normal Compositional Model and a Hierarchical Bayesian Algorithm.
IEEE J. Sel. Top. Signal Process., 2010
Accuracy and performance of optimized Bayesian Source Separation for hyperspectral unmixing.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
A reversible-jump mcmc algorithm for estimating the number of endmembers in the normal compositional model application to the unmixing of hyperspectral images.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
IEEE Trans. Signal Process., 2009
IEEE Trans. Image Process., 2009
Bayesian separation of spectral sources under non-negativity and full additivity constraints.
Signal Process., 2009
Material identification on martian hyperspectral images using bayesian source separation.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery.
IEEE Trans. Signal Process., 2008
Bayesian linear unmixing of hyperspectral images corrupted by colored Gaussian noise with unknown covariance matrix.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model.
IEEE Trans. Signal Process., 2007
Joint Segmentation of Piecewise Constant Autoregressive Processes by Using a Hierarchical Model and a Bayesian Sampling Approach.
IEEE Trans. Signal Process., 2007
Comput. Stat. Data Anal., 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Joint segmentation of multivariate Poissonian time series. Application to burst and transient source experiments.
Proceedings of the 14th European Signal Processing Conference, 2006