| Weighted Residual NMF With Spatial Regularization for Hyperspectral Unmixing | 0 | 0.34 | 2022 |
| Fusion of hyperspectral and multispectral infrared astronomical images | 0 | 0.34 | 2020 |
| Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability. | 0 | 0.34 | 2020 |
| Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis. | 0 | 0.34 | 2020 |
| Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise | 0 | 0.34 | 2019 |
| A Bayesian Nonparametric Model For Unsupervised Joint Segmentation Of A Collection Of Images | 0 | 0.34 | 2019 |
| Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity | 6 | 0.45 | 2019 |
| Bayesian Image Restoration Under Poisson Noise And Log-Concave Prior | 0 | 0.34 | 2019 |
| Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images. | 1 | 0.35 | 2019 |
| Matrix Cofactorization For Joint Unmixing And Classification Of Hyperspectral Images | 0 | 0.34 | 2019 |
| Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning. | 2 | 0.35 | 2019 |
| Matrix Cofactorization for Joint Representation Learning and Supervised Classification - Application to Hyperspectral Image Analysis. | 0 | 0.34 | 2019 |
| Asymptotically Exact Data Augmentation: Models, Properties, And Algorithms | 1 | 0.35 | 2019 |
| Split-and-Augmented Gibbs Sampler - Application to Large-Scale Inference Problems. | 1 | 0.35 | 2019 |
| Non-linear unmixing of hyperspectral images using multiple-kernel self-organising maps | 0 | 0.34 | 2019 |
| Efficient Sampling Through Variable Splitting-Inspired Bayesian Hierarchical Models | 0 | 0.34 | 2019 |
| Robust fusion algorithms for unsupervised change detection between multi-band optical images — A comprehensive case study | 0 | 0.34 | 2018 |
| Factor analysis of dynamic PET images: beyond Gaussian noise. | 0 | 0.34 | 2018 |
| SPARSE BAYESIAN BINARY LOGISTIC REGRESSION USING THE SPLIT-AND-AUGMENTED GIBBS SAMPLER | 1 | 0.36 | 2018 |
| A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images. | 1 | 0.36 | 2018 |
| Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: a Fusion-Based Approach. | 3 | 0.36 | 2018 |
| Reconstruction Of Partially Sampled EELS Images | 0 | 0.34 | 2018 |
| Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization. | 6 | 0.39 | 2018 |
| Foreword to the Special Issue on Quality Improvements of Remote Sensing Data. | 0 | 0.34 | 2018 |
| Unmixing dynamic PET images for voxel-based kinetic component analysis. | 0 | 0.34 | 2017 |
| Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations. | 0 | 0.34 | 2017 |
| Bayesian anti-sparse coding | 0 | 0.34 | 2017 |
| A Split-and-Merge Approach for Hyperspectral Band Selection. | 1 | 0.35 | 2017 |
| Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodeling Effects. | 6 | 0.41 | 2017 |
| Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model. | 0 | 0.34 | 2017 |
| Unmixing dynamic PET images with a PALM algorithm. | 0 | 0.34 | 2017 |
| Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model | 30 | 0.97 | 2016 |
| Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation. | 0 | 0.34 | 2016 |
| Detection and Correction of Glitches in a Multiplexed Multichannel Data Stream - Application to the MADRAS Instrument. | 0 | 0.34 | 2016 |
| Multiband Image Fusion Based on Spectral Unmixing | 2 | 0.42 | 2016 |
| Bayesian selection for the regularization parameter in TVl0 denoising problems. | 0 | 0.34 | 2016 |
| R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation. | 6 | 0.46 | 2016 |
| Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method | 1 | 0.38 | 2015 |
| Unmixing multitemporal hyperspectral images accounting for endmember variability | 2 | 0.36 | 2015 |
| Hyperspectral unmixing accounting for spatial correlations and endmember variability | 0 | 0.34 | 2015 |
| A New Bayesian Unmixing Algorithm For Hyperspectral Images Mitigating Endmember Variability | 2 | 0.40 | 2015 |
| Online unmixing of multitemporal hyperspectral images accounting for spectral variability | 9 | 0.45 | 2015 |
| Toward Fast Transform Learning | 8 | 0.52 | 2015 |
| Hyperspectral pansharpening: a review. | 88 | 2.15 | 2015 |
| A perturbed linear mixing model accounting for spectral variability | 1 | 0.40 | 2015 |
| A Bayesian Approach For The Joint Estimation Of The Multifractality Parameter And Integral Scale Based On The Whittle Approximation | 0 | 0.34 | 2015 |
| Fuse: A fast multi-band image fusion algorithm | 2 | 0.39 | 2015 |
| Bayesian fusion of hyperspectral and multispectral images | 10 | 0.64 | 2014 |
| Inverse problem formulation for regularity estimation in images | 2 | 0.36 | 2014 |
| Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms | 102 | 2.97 | 2014 |
