Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Approximation and Sparse Representation

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.2994968 ◽

2020 ◽

pp. 1-13

Author(s):

Xuelong Li ◽

Yue Yuan ◽

Qi Wang

Keyword(s):

Image Fusion ◽

Sparse Representation ◽

Multispectral Image ◽

Low Rank ◽

Rank Tensor ◽

Tensor Approximation

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Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.2983063 ◽

2020 ◽

Vol 58 (11) ◽

pp. 7654-7671

Author(s):

Kaidong Wang ◽

Yao Wang ◽

Xi-Le Zhao ◽

Jonathan Cheung-Wai Chan ◽

Zongben Xu ◽

...

Keyword(s):

Image Fusion ◽

Tensor Decomposition ◽

Spectral Unmixing ◽

Multispectral Image ◽

Low Rank ◽

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Computation of low-rank tensor approximation under existence constraint via a forward-backward algorithm

Signal Processing ◽

10.1016/j.sigpro.2021.108178 ◽

2021 ◽

pp. 108178

Author(s):

Marouane Nazih ◽

Khalid Minaoui ◽

Elaheh Sobhani ◽

Pierre Comon

Keyword(s):

Low Rank ◽

Rank Tensor ◽

Tensor Approximation

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Hyperspectral and Multispectral Image Fusion Using Non-Convex Relaxation Low Rank and Total Variation Regularization

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9323227 ◽

2020 ◽

Author(s):

Yue Yuan ◽

Qi Wang ◽

Xuelong Li

Keyword(s):

Image Fusion ◽

Total Variation ◽

Convex Relaxation ◽

Multispectral Image ◽

Low Rank ◽

Total Variation Regularization

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Spatial–Spectral-Graph-Regularized Low-Rank Tensor Decomposition for Multispectral and Hyperspectral Image Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2017.2785411 ◽

2018 ◽

Vol 11 (4) ◽

pp. 1030-1040 ◽

Author(s):

Kai Zhang ◽

Min Wang ◽

Shuyuan Yang ◽

Licheng Jiao

Keyword(s):

Image Fusion ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Low Rank ◽

Spectral Graph ◽

Rank Tensor ◽

Hyperspectral Image Fusion

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Enhanced Low Rank Tensor Approximation Algorithm

Advances in Applied Mathematics ◽

10.12677/aam.2019.88157 ◽

2019 ◽

Vol 08 (08) ◽

pp. 1336-1340

Author(s):

婷婷马

Keyword(s):

Approximation Algorithm ◽

Low Rank ◽

Rank Tensor ◽

Tensor Approximation

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Locally linear low-rank tensor approximation

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2015.7418315 ◽

2015 ◽

Author(s):

Alp Ozdemir ◽

Mark A. Iwen ◽

Selin Aviyente

Keyword(s):

Low Rank ◽

Rank Tensor ◽

Tensor Approximation ◽

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Sampling and Low-Rank Tensor Approximation of the Response Surface

Monte Carlo and Quasi-Monte Carlo Methods 2012 - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-642-41095-6_27 ◽

2013 ◽

pp. 535-551 ◽

Author(s):

Alexander Litvinenko ◽

Hermann G. Matthies ◽

Tarek A. El-Moselhy

Keyword(s):

Response Surface ◽

Low Rank ◽

Rank Tensor ◽

Tensor Approximation

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An adaptive dynamical low-rank tensor approximation scheme for fast circuit simulation

2015 IEEE 11th International Conference on ASIC (ASICON) ◽

10.1109/asicon.2015.7516957 ◽

2015 ◽

Author(s):

Kim Batselier ◽

Quan Chen ◽

Ngai Wong

Keyword(s):

Approximation Scheme ◽

Circuit Simulation ◽

Low Rank ◽

Rank Tensor ◽

Fast Circuit ◽

Tensor Approximation

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Error-robust low-rank tensor approximation for multi-view clustering

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.106745 ◽

2021 ◽

Vol 215 ◽

pp. 106745

Author(s):

Shuqin Wang ◽

Yongyong Chen ◽

Yi Jin ◽

Yigang Cen ◽

Yidong Li ◽

...

Keyword(s):

Low Rank ◽

Rank Tensor ◽

Tensor Approximation

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The Epsilon-Alternating Least Squares for Orthogonal Low-Rank Tensor Approximation and Its Global Convergence

SIAM Journal on Matrix Analysis and Applications ◽

10.1137/19m1303113 ◽

2020 ◽

Vol 41 (4) ◽

pp. 1797-1825

Author(s):

Yuning Yang

Keyword(s):

Global Convergence ◽

Least Squares ◽

Alternating Least Squares ◽

Low Rank ◽

Rank Tensor ◽

Tensor Approximation

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