ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1202.6294
  4. Cited By
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse
  Regression-Based Approaches
v1v2 (latest)

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

28 February 2012
J. Bioucas-Dias
Antonio J. Plaza
N. Dobigeon
M. Parente
Q. Du
P. Gader
Jocelyn Chanussot
ArXiv (abs)PDFHTML

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

50 / 228 papers shown
Title
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing
Valentin Leplat
Nicolas Gillis
Cédric Févotte
29
13
0
08 Jul 2020
Unsupervised Pansharpening Based on Self-Attention Mechanism
Unsupervised Pansharpening Based on Self-Attention Mechanism
Ying Qu
Razieh Kaviani Baghbaderani
Hairong Qi
C. Kwan
81
69
0
16 Jun 2020
Sparse Separable Nonnegative Matrix Factorization
Sparse Separable Nonnegative Matrix Factorization
Nicolas Nadisic
A. Vandaele
Jérémy E. Cohen
Nicolas Gillis
17
4
0
13 Jun 2020
Hyperspectral Image Denoising via Global Spatial-Spectral Total
  Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
Haijin Zeng
Xiaozhen Xie
J. Ning
88
51
0
30 May 2020
Hyperspectral Image Classification Based on Sparse Modeling of Spectral
  Blocks
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks
Saeideh Ghanbari Azar
S. Meshgini
T. Y. Rezaii
S. Beheshti
26
17
0
17 May 2020
Tensor completion using enhanced multiple modes low-rank prior and total
  variation
Tensor completion using enhanced multiple modes low-rank prior and total variation
Haijin Zeng
Xiaozhen Xie
J. Ning
45
2
0
19 Apr 2020
Improving Deep Hyperspectral Image Classification Performance with
  Spectral Unmixing
Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing
Alan J. X. Guo
Fei Zhu
21
1
0
01 Apr 2020
Hyperspectral-Multispectral Image Fusion with Weighted LASSO
Hyperspectral-Multispectral Image Fusion with Weighted LASSO
Nguyen H. Tran
Rupali Mankar
D. Mayerich
Zhu Han
29
4
0
15 Mar 2020
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow
  to Deep (Overview and Toolbox)
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
Behnood Rasti
Danfeng Hong
Renlong Hang
Pedram Ghamisi
Xudong Kang
Jocelyn Chanussot
J. Benediktsson
139
408
0
05 Mar 2020
Constrained Nonnegative Matrix Factorization for Blind Hyperspectral
  Unmixing incorporating Endmember Independence
Constrained Nonnegative Matrix Factorization for Blind Hyperspectral Unmixing incorporating Endmember Independence
E. Ekanayake
H. Weerasooriya
D. Ranasinghe
S. Herath
B. Rathnayake
G. Godaliyadda
M. P. B. Ekanayake
Hmspb Herath
47
22
0
02 Mar 2020
On Recoverability of Randomly Compressed Tensors with Low CP Rank
On Recoverability of Randomly Compressed Tensors with Low CP Rank
Shahana Ibrahim
Xiao Fu
Xingguo Li
69
4
0
08 Jan 2020
AeroRIT: A New Scene for Hyperspectral Image Analysis
AeroRIT: A New Scene for Hyperspectral Image Analysis
Aneesh Rangnekar
Nilay Mokashi
Emmett Ientilucci
Christopher Kanan
Matthew J. Hoffman
SSeg
80
37
0
17 Dec 2019
Maximum likelihood estimation of regularisation parameters in
  high-dimensional inverse problems: an empirical Bayesian approach. Part I:
  Methodology and Experiments
Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part I: Methodology and Experiments
A. F. Vidal
Valentin De Bortoli
Marcelo Pereyra
Alain Durmus
79
7
0
26 Nov 2019
Tensor Regression Using Low-rank and Sparse Tucker Decompositions
Tensor Regression Using Low-rank and Sparse Tucker Decompositions
Talal Ahmed
Haroon Raja
W. Bajwa
72
26
0
09 Nov 2019
Peanut Maturity Classification using Hyperspectral Imagery
Peanut Maturity Classification using Hyperspectral Imagery
Prem Seetharaman
Y. Tseng
Alina Zare
D. Rowland
Bryan Pardo
S. Yoon
48
34
0
20 Oct 2019
Probabilistic Fitting of Topological Structure to Data
Probabilistic Fitting of Topological Structure to Data
James T. Griffin
13
0
0
22 Sep 2019
Nonlinear Multiview Analysis: Identifiability and Neural
  Network-assisted Implementation
Nonlinear Multiview Analysis: Identifiability and Neural Network-assisted Implementation
Qi Lyu
Xiao Fu
22
0
0
19 Sep 2019
Matrix cofactorization for joint spatial-spectral unmixing of
  hyperspectral images
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
A. Lagrange
M. Fauvel
S. May
N. Dobigeon
18
6
0
19 Jul 2019
Self-supervised Hyperspectral Image Restoration using Separable Image
  Prior
Self-supervised Hyperspectral Image Restoration using Separable Image Prior
Ryuji Imamura
Tatsuki Itasaka
M. Okuda
43
8
0
01 Jul 2019
Constrained low-tubal-rank tensor recovery for hyperspectral images
  mixed noise removal by bilateral random projections
Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections
Hao Zhang
Xile Zhao
Tai-Xiang Jiang
Michael K. Ng
24
2
0
15 May 2019
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with
  Mutual Dirichlet-Net
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
Ying Qu
Hairong Qi
C. Kwan
Naoto Yokoya
Jocelyn Chanussot
115
73
0
27 Apr 2019
Automatic Target Detection for Sparse Hyperspectral Images
Automatic Target Detection for Sparse Hyperspectral Images
Ahmad W. Bitar
J. Ovarlez
L. Cheong
A. Chehab
26
3
0
14 Apr 2019
A Dual Symmetric Gauss-Seidel Alternating Direction Method of
  Multipliers for Hyperspectral Sparse Unmixing
A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing
Longfei Ren
Chengjing Wang
Peipei Tang
Zheng Ma
28
11
0
25 Feb 2019
A laboratory-created dataset with ground-truth for hyperspectral
  unmixing evaluation
A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation
Min Zhao
Jie Chen
Zhe He
34
17
0
22 Feb 2019
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian
  Regularization
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization
Minh Nguyen
Tianming Wang
34
4
0
21 Feb 2019
Sparsity Constrained Distributed Unmixing of Hyperspectral Data
Sparsity Constrained Distributed Unmixing of Hyperspectral Data
Sara Khoshsokhan
Roozbeh Rajabi
H. Zayyani
57
24
0
20 Feb 2019
Matrix Cofactorization for Joint Representation Learning and Supervised
  Classification -- Application to Hyperspectral Image Analysis
Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis
A. Lagrange
M. Fauvel
S. May
J. Bioucas-Dias
N. Dobigeon
33
2
0
07 Feb 2019
Learning Nonlinear Mixtures: Identifiability and Algorithm
Learning Nonlinear Mixtures: Identifiability and Algorithm
Bo Yang
Xiao Fu
N. Sidiropoulos
Kejun Huang
CML
60
11
0
06 Jan 2019
Adaptive Image Sampling using Deep Learning and its Application on X-Ray
  Fluorescence Image Reconstruction
Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction
Qiqin Dai
Henry H. Chopp
E. Pouyet
O. Cossairt
M. Walton
Aggelos K. Katsaggelos
64
34
0
27 Dec 2018
Non-local Meets Global: An Integrated Paradigm for Hyperspectral
  Denoising
Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
Wei He
Quanming Yao
Chong Li
Naoto Yokoya
Qibin Zhao
76
155
0
11 Dec 2018
Material Based Object Tracking in Hyperspectral Videos: Benchmark and
  Algorithms
Material Based Object Tracking in Hyperspectral Videos: Benchmark and Algorithms
Fengchao Xiong
Jun Zhou
Y. Qian
VOS
136
190
0
11 Dec 2018
Towards Spectral Estimation from a Single RGB Image in the Wild
Towards Spectral Estimation from a Single RGB Image in the Wild
Berk Kaya
Y. Can
Radu Timofte
106
40
0
03 Dec 2018
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for
  Spectral Variability
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability
Advaith Siddharthan
R. Borsoi
N. A. Murphy
40
45
0
02 Nov 2018
An Augmented Linear Mixing Model to Address Spectral Variability for
  Hyperspectral Unmixing
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Xiaoxiang Zhu
54
719
0
29 Oct 2018
On Statistical Learning of Simplices: Unmixing Problem Revisited
On Statistical Learning of Simplices: Unmixing Problem Revisited
Amir Najafi
S. Ilchi
Amir Saberi
Abolfazl Motahari
B. Khalaj
Hamid R. Rabiee
40
3
0
18 Oct 2018
Residuum-Condition Diagram and Reduction of Over-Complete Endmember-Sets
Residuum-Condition Diagram and Reduction of Over-Complete Endmember-Sets
C. Schikora
Markus Plack
A. Kolb
24
0
0
26 Sep 2018
Identifiability of Complete Dictionary Learning
Identifiability of Complete Dictionary Learning
Jérémy E. Cohen
Nicolas Gillis
48
7
0
27 Aug 2018
Factor analysis of dynamic PET images: beyond Gaussian noise
Factor analysis of dynamic PET images: beyond Gaussian noise
Y. C. Cavalcanti
Thomas Oberlin
N. Dobigeon
Cédric Févotte
S. Stute
M. Ribeiro
C. Tauber
26
10
0
30 Jul 2018
Endmember Extraction on the Grassmannian
Endmember Extraction on the Grassmannian
Elin Farnell
Henry Kvinge
Michael Kirby
C. Peterson
25
0
0
03 Jul 2018
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual
  Convolutional Neural Network
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network
Qiangqiang Yuan
Qiang Zhang
Jie Li
Huanfeng Shen
Liangpei Zhang
135
384
0
01 Jun 2018
Comparison of VCA and GAEE algorithms for Endmember Extraction
Comparison of VCA and GAEE algorithms for Endmember Extraction
S. DouglasWinstonR.
G. Laureano
Celso G. Camilo
16
6
0
27 May 2018
Hyperspectral unmixing with spectral variability using adaptive bundles
  and double sparsity
Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity
Tatsumi Uezato
M. Fauvel
N. Dobigeon
60
46
0
30 Apr 2018
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image
  Super-Resolution
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
Ying Qu
Hairong Qi
C. Kwan
SupR
71
206
0
13 Apr 2018
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
Tales Imbiriba
R. Borsoi
J. Bermudez
39
23
0
16 Mar 2018
A particle-based variational approach to Bayesian Non-negative Matrix
  Factorization
A particle-based variational approach to Bayesian Non-negative Matrix Factorization
M. A. Masood
Finale Doshi-Velez
58
11
0
16 Mar 2018
Reconstruction of partially sampled multi-band images - Application to
  STEM-EELS imaging
Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging
Étienne Monier
Thomas Oberlin
N. Brun
M. Tencé
M. de Frutos
N. Dobigeon
136
12
0
27 Feb 2018
Machine learning based hyperspectral image analysis: A survey
Machine learning based hyperspectral image analysis: A survey
Utsav B. Gewali
S. Monteiro
E. Saber
53
116
0
23 Feb 2018
Archetypal Analysis for Sparse Representation-based Hyperspectral
  Sub-pixel Quantification
Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification
L. Drees
R. Roscher
Susanne Wenzel
25
4
0
08 Feb 2018
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery
  Classification
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification
Alan J. X. Guo
Fei Zhu
42
36
0
31 Jan 2018
Scene-Adapted Plug-and-Play Algorithm with Guaranteed Convergence:
  Applications to Data Fusion in Imaging
Scene-Adapted Plug-and-Play Algorithm with Guaranteed Convergence: Applications to Data Fusion in Imaging
Afonso M. Teodoro
J. Bioucas-Dias
Mário A. T. Figueiredo
78
11
0
02 Jan 2018
Previous
12345
Next