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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

28 February 2012

Jocelyn Chanussot

Papers citing "Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches"

50 / 228 papers shown

Title
Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection Shizhen Chang Pedram Ghamisi 21 27 0 18 Mar 2022
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images Sam L. Polk Kangning Cui Aland H. Y. Chan David A. Coomes R. Plemmons James M. Murphy DiffM 29 9 0 18 Mar 2022
HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening W. G. C. Bandara Vishal M. Patel ViT 70 97 0 04 Mar 2022
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder Kiran Mantripragada Faisal Z. Qureshi 84 35 0 02 Mar 2022
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening C. Dantas Emmanuel Soubies Cédric Févotte 127 0 0 15 Feb 2022
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing Hongming Li Shujian Yu José C. Príncipe 49 6 0 07 Feb 2022
Binary Change Guided Hyperspectral Multiclass Change Detection Meiqi Hu Chen Wu Bo Du Liangpei Zhang 60 61 0 08 Dec 2021
Extending the Unmixing methods to Multispectral Images Jizhen Cai Hermine Chatoux C. Boust A. Mansouri 53 5 0 23 Nov 2021
Bayesian Learning via Neural Schrödinger-Föllmer Flows Francisco Vargas Andrius Ovsianas David Fernandes Mark Girolami Neil D. Lawrence Nikolas Nusken BDL 116 49 0 20 Nov 2021
On the Optimization Landscape of Maximum Mean Discrepancy A. Itai Amir Globerson A. Wiesel 49 1 0 26 Oct 2021
An Efficient Scheme for Sampling in Constrained Domains S. Chaudhry Daniel Lautzenheiser K. Ghosh 23 3 0 21 Oct 2021
Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images Ge Zhang Shaohui Mei Mingyang Ma Yan Feng Q. Du 58 32 0 19 Oct 2021
Smoothed Separable Nonnegative Matrix Factorization Nicolas Nadisic Nicolas Gillis Christophe Kervazo 62 9 0 11 Oct 2021
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation Kamil Książek P. Głomb M. Romaszewski M. Cholewa B. Grabowski Krisztián Búza 67 3 0 28 Sep 2021
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal Lina Zhuang Michael Kwok-Po Ng 87 94 0 18 Sep 2021
Efficient ADMM-based Algorithms for Convolutional Sparse Coding Farshad G. Veshki S. Vorobyov 27 17 0 07 Sep 2021
Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification Shujun Yang Junhui Hou Yuheng Jia Shaohui Mei Q. Du BDL 73 29 0 25 Aug 2021
Joint Majorization-Minimization for Nonnegative Matrix Factorization with the $β$ -divergence Arthur Marmin J. H. D. M. Goulart Cédric Févotte 86 10 0 29 Jun 2021
Change Detection for Geodatabase Updating R. Qin 19 0 0 27 Jun 2021
On Hyperspectral Unmixing Wing-Kin Ma 70 13 0 27 Jun 2021
AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis R. Lyngdoh Anand S. Sahadevan Touseef Ahmad P. Rathore Manoj K. Mishra P. Gupta A. Misra 57 14 0 24 Jun 2021
High Performance Hyperspectral Image Classification using Graphics Processing Units M. Hossam 20 1 0 30 May 2021
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising Zhiqiang Wang Z. Shao Xiao Huang Jiaming Wang Tao Lu Sihang Zhang 53 11 0 23 May 2021
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing Danfeng Hong Lianru Gao Jing Yao Naoto Yokoya Jocelyn Chanussot U. Heiden Bing Zhang 72 160 0 21 May 2021
Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing Lianru Gao Zhicheng Wang Lina Zhuang Haoyang Yu Bing Zhang Jocelyn Chanussot 38 76 0 30 Mar 2021
Probabilistic Simplex Component Analysis Ruiyuan Wu Wing-Kin Ma Yuening Li Anthony Man-Cho So N. Sidiropoulos 72 12 0 18 Mar 2021
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations Lina Zhuang Lianru Gao Bing Zhang Xiyou Fu J. Bioucas-Dias 59 90 0 12 Mar 2021
Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations Lina Zhuang J. Bioucas-Dias 66 284 0 11 Mar 2021
Self-supervised Symmetric Nonnegative Matrix Factorization Yuheng Jia Hui Liu Junhui Hou Sam Kwong Qingfu Zhang 31 16 0 02 Mar 2021
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing Danfeng Hong Wei He Naoto Yokoya Jing Yao Lianru Gao Liangpei Zhang Jocelyn Chanussot Xiaoxiang Zhu 53 0 0 02 Mar 2021
Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors Yuchun Miao Xile Zhao Xiao Fu Jian-Li Wang Yu-Bang Zheng 84 40 0 24 Feb 2021
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets Ke Li Dengxin Dai E. Konukoglu Luc Van Gool 58 7 0 19 Jan 2021
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects Muhammad Ahmad Sidrah Shabbir Swalpa Kumar Roy Danfeng Hong Xin Wu Jing Yao A. Khan Manuel Mazzara Salvatore Distefano Jocelyn Chanussot 167 260 0 15 Jan 2021
Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery Rong Wang W. Feng Qianrong Zhang Feiping Nie Zhen Wang Xuelong Li 70 13 0 06 Jan 2021
Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging Wei He Naoto Yokoya Xin Yuan 43 6 0 30 Dec 2020
Provably robust blind source separation of linear-quadratic near-separable mixtures Christophe Kervazo Nicolas Gillis N. Dobigeon 62 5 0 24 Nov 2020
$Matrix-wise $\ell_0$-constrained Sparse Nonnegative Least Squares$ Matrix-wise $\ell_0$ -constrained Sparse Nonnegative Least Squares Nicolas Nadisic Jérémy E. Cohen A. Vandaele Nicolas Gillis 40 0 0 22 Nov 2020
LULC classification by semantic segmentation of satellite images using FastFCN Md. Saif Hassan Onim Aiman Rafeed Ehtesham Amreen Anbar A. Islam A. Rahman 18 10 0 13 Nov 2020
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios F. Palka Wojciech Ksika.zek Pawel Plawiak M. Romaszewski Kamil Ksika.zek 14 9 0 04 Nov 2020
Multiplicative Updates for NMF with $β$ -Divergences under Disjoint Equality Constraints Valentin Leplat Nicolas Gillis Jérôme Idier 47 11 0 30 Oct 2020
Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration Wei He Quanming Yao Chao Li Naoto Yokoya Qibin Zhao Hongyan Zhang Lefei Zhang 75 178 0 24 Oct 2020
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence L. Hien Nicolas Gillis 79 59 0 05 Oct 2020
Deep matrix factorizations Pierre De Handschutter Nicolas Gillis Xavier Siebert BDL 128 47 0 01 Oct 2020
LULC Segmentation of RGB Satellite Image Using FCN-8 A. Nayem Anis Sarker Ovi Paul A. Ali M Ashraful Amin A. Rahman 24 8 0 24 Aug 2020
A Dataset for Evaluating Blood Detection in Hyperspectral Images M. Romaszewski P. Głomb A. Sochan M. Cholewa OOD 34 20 0 24 Aug 2020
Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part II: Theoretical Analysis Valentin De Bortoli Alain Durmus A. F. Vidal Marcelo Pereyra 83 20 0 13 Aug 2020
Graph Convolutional Networks for Hyperspectral Image Classification Danfeng Hong Lianru Gao Jing Yao Bing Zhang Antonio J. Plaza Jocelyn Chanussot 93 1,118 0 06 Aug 2020
Illumination invariant hyperspectral image unmixing based on a digital surface model Tatsumi Uezato Naoto Yokoya Wei He 50 19 0 23 Jul 2020
Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms Maryam Abdolali Nicolas Gillis 69 24 0 22 Jul 2020
Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios Xiong Zhou S. Prasad AAML 36 9 0 16 Jul 2020