Rank-1 Tensor Decomposition for Hyperspectral Image Denoising with Nonlocal Low-Rank Regularization

2017 International Conference on Machine Vision and Information Technology (CMVIT) ◽

10.1109/cmvit.2017.22 ◽

2017 ◽

Cited By ~ 6

Author(s):

Jize Xue ◽

Yongqiang Zhao

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Low Rank

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Spatial–Spectral Total Variation Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2833473 ◽

2018 ◽

Vol 56 (10) ◽

pp. 6196-6213 ◽

Cited By ~ 31

Author(s):

Haiyan Fan ◽

Chang Li ◽

Yulan Guo ◽

Gangyao Kuang ◽

Jiayi Ma

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Low Rank ◽

Rank Tensor

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Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2019.2947333 ◽

2020 ◽

Vol 58 (5) ◽

pp. 3071-3084 ◽

Cited By ~ 4

Author(s):

Hongyan Zhang ◽

Lu Liu ◽

Wei He ◽

Liangpei Zhang

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Low Rank ◽

Total Variation Regularization ◽

Rank Tensor

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Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition

IEEE Access ◽

10.1109/access.2017.2778947 ◽

2018 ◽

Vol 6 ◽

pp. 1380-1390 ◽

Cited By ~ 17

Author(s):

Zhihong Huang ◽

Shutao Li ◽

Leyuan Fang ◽

Huali Li ◽

Jon Atli Benediktsson

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Low Rank ◽

Rank Tensor

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Nonlocal Low-Rank Regularized Tensor Decomposition for Hyperspectral Image Denoising

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2019.2897316 ◽

2019 ◽

Vol 57 (7) ◽

pp. 5174-5189 ◽

Cited By ~ 25

Author(s):

Jize Xue ◽

Yongqiang Zhao ◽

Wenzhi Liao ◽

Jonathan Cheung-Wai Chan

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Low Rank

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Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2014.2321557 ◽

2015 ◽

Vol 53 (1) ◽

pp. 296-308 ◽

Cited By ~ 186

Author(s):

Yong-Qiang Zhao ◽

Jingxiang Yang

Keyword(s):

Sparse Representation ◽

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Rank Constraint

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Non-local similarity based tensor decomposition for hyperspectral image denoising

2017 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2017.8296610 ◽

2017 ◽

Cited By ~ 3

Author(s):

Fan Xu ◽

Xiao Bai ◽

Jun Zhou

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Local Similarity ◽

Non Local

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Hyperspectral image denoising based on global and non-local low-rank factorizations

2017 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2017.8296612 ◽

2017 ◽

Cited By ~ 8

Author(s):

Lina Zhuang ◽

Jose M. Bioucas-Dias

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Non Local

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A Hyperspectral Image Denoising Approach via Low-Rank Matrix Recovery and Greedy Bilateral

10.1109/rivf51545.2021.9642145 ◽

2021 ◽

Author(s):

Anh Tuan Vuong ◽

Van Ha Tang ◽

Long Thanh Ngo

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Matrix Recovery ◽

Rank Matrix ◽

Low Rank Matrix Recovery ◽

Low Rank Matrix

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Hyperspectral image denoising based on low-rank representation and superpixel segmentation

2016 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2016.7532927 ◽

2016 ◽

Cited By ~ 3

Author(s):

Jiayi Ma ◽

Chang Li ◽

Yong Ma ◽

Zhongyuan Wang

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Superpixel Segmentation ◽

Low Rank Representation

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Hyperspectral Image Denoising Based on Graph-Structured Low Rank and Non-local Constraint

Pattern Recognition and Computer Vision - Lecture Notes in Computer Science ◽

10.1007/978-3-030-60633-6_4 ◽

2020 ◽

pp. 40-52

Author(s):

Haitao Chen ◽

Haitao Yin

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Local Constraint ◽

Non Local

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