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Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A
  Comprehensive Review

Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review

20 May 2022
Xin-Ru Feng
Hengchao Li
Rui Wang
Q. Du
Wenxuan Wang
Antonio J. Plaza
ArXivPDFHTML

Papers citing "Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review"

5 / 5 papers shown
Title
Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing
Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing
Hui Chen
Liangyu Liu
Xianchao Xiu
Wanquan Liu
51
0
0
25 Mar 2025
Neural Network for Blind Unmixing: a novel MatrixConv Unmixing (MCU) Approach
Chao Zhou
Wei Pu
M. Rodrigues
38
0
0
11 Mar 2025
Learning nonnegative matrix factorizations from compressed data
Learning nonnegative matrix factorizations from compressed data
Abraar Chaudhry
E. Rebrova
26
0
0
08 Sep 2024
Bidirectional recurrent imputation and abundance estimation of LULC
  classes with MODIS multispectral time series and geo-topographic and climatic
  data
Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic data
José Rodríguez-Ortega
Rohaifa Khaldi
D. Alcaraz‐Segura
S. Tabik
16
1
0
11 Oct 2023
Tensor Decompositions for Hyperspectral Data Processing in Remote
  Sensing: A Comprehensive Review
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review
Minghua Wang
Danfeng Hong
Zhu Han
Jiaxin Li
Jing Yao
Lianru Gao
Bing Zhang
Jocelyn Chanussot
21
59
0
13 May 2022
1