Hyperspectral Image Denoising Based on Nonlocal Low Rank Dictionary Learning

The Open Automation and Control Systems Journal ◽

10.2174/1874444301507011813 ◽

2015 ◽

Vol 7 (1) ◽

pp. 1813-1819

Author(s):

Zeng ZhiHua ◽

Zhou Bing ◽

Li Cong

Keyword(s):

Image Denoising ◽

Dictionary Learning ◽

Hyperspectral Image ◽

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A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2020.2971441 ◽

2020 ◽

Vol 68 ◽

pp. 1168-1180 ◽

Author(s):

Xiao Gong ◽

Wei Chen ◽

Jie Chen

Keyword(s):

Image Denoising ◽

Dictionary Learning ◽

Hyperspectral Image ◽

Low Rank ◽

Learning Method ◽

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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 ◽

Author(s):

Yong-Qiang Zhao ◽

Jingxiang Yang

Keyword(s):

Sparse Representation ◽

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Rank Constraint

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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 ◽

Author(s):

Lina Zhuang ◽

Jose M. Bioucas-Dias

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

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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 ◽

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 ◽

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Hyperspectral Image Denoising Based on Subspace Low Rank Representation

Communications in Computer and Information Science - Geo-Spatial Knowledge and Intelligence ◽

10.1007/978-981-10-3969-0_7 ◽

2017 ◽

pp. 51-59 ◽

Author(s):

Mengdi Wang ◽

Jing Yu ◽

Lijuan Niu ◽

Weidong Sun

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Low Rank Representation

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Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising

IEEE Access ◽

10.1109/access.2020.2996303 ◽

2020 ◽

Vol 8 ◽

pp. 102935-102946

Author(s):

Guxi Wang ◽

Hongwei Han ◽

Emmanuel John M. Carranza ◽

Si Guo ◽

Ke Guo ◽

...

Keyword(s):

Image Denoising ◽

Prior Information ◽

Hyperspectral Image ◽

Low Rank ◽

Information Constraints ◽

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Hyperspectral Image Denoising using Dictionary Learning

2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2019.8921110 ◽

2019 ◽

Author(s):

Cassio F. Dantas ◽

Jeremy E. Cohen ◽

Remi Gribonval

Keyword(s):

Image Denoising ◽

Dictionary Learning ◽

Hyperspectral Image

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Hyperspectral Image Denoising Using Group Low-Rank and Spatial-Spectral Total Variation

IEEE Access ◽

10.1109/access.2019.2911864 ◽

2019 ◽

Vol 7 ◽

pp. 52095-52109 ◽

Author(s):

Taner Ince

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

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