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 with superpixel segmentation and low-rank representation

Information Sciences ◽

10.1016/j.ins.2017.02.044 ◽

2017 ◽

Vol 397-398 ◽

pp. 48-68 ◽

Author(s):

Fan Fan ◽

Yong Ma ◽

Chang Li ◽

Xiaoguang Mei ◽

Jun Huang ◽

...

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Superpixel Segmentation ◽

Low Rank Representation

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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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A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping

Remote Sensing ◽

10.3390/rs9111145 ◽

2017 ◽

Vol 9 (11) ◽

pp. 1145 ◽

Author(s):

Lianru Gao ◽

Dan Yao ◽

Qingting Li ◽

Lina Zhuang ◽

Bing Zhang ◽

...

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Denoising Method ◽

Mineral Mapping ◽

Low Rank Representation

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Hyperspectral Image Denoising via Low-rank Representation and CNN Denoiser

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

10.1109/jstars.2021.3138564 ◽

2021 ◽

pp. 1-1

Author(s):

Hezhi Sun ◽

Ming Liu ◽

Ke Zheng ◽

Dong Yang ◽

Jindong Li ◽

...

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Low Rank Representation

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Hyperspectral Image Denoising Based on Superpixel Segmentation Low-Rank Matrix Approximation and Total Variation

Circuits Systems and Signal Processing ◽

10.1007/s00034-021-01938-9 ◽

2022 ◽

Author(s):

Y. Behroozi ◽

M. Yazdi ◽

A. Zolghadr asli

Keyword(s):

Image Denoising ◽

Total Variation ◽

Hyperspectral Image ◽

Low Rank ◽

Matrix Approximation ◽

Superpixel Segmentation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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Group-based hyperspectral image denoising using low rank representation

2015 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2015.7351075 ◽

2015 ◽

Author(s):

Mengdi Wang ◽

Jing Yu ◽

Weidong Sun

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Low Rank Representation

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Hyperspectral image denoising with segmentation-based low rank representation

2016 Visual Communications and Image Processing (VCIP) ◽

10.1109/vcip.2016.7805490 ◽

2016 ◽

Author(s):

Jiayi Ma ◽

Junjun Jiang ◽

Chang Li

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Low Rank Representation

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Hyperspectral Image Reconstruction by Latent Low-Rank Representation for Classification

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2018.2844555 ◽

2018 ◽

Vol 15 (9) ◽

pp. 1422-1426 ◽

Author(s):

Lei Pan ◽

Heng-Chao Li ◽

Yong-Jian Sun ◽

Qian Du

Keyword(s):

Image Reconstruction ◽

Hyperspectral Image ◽

Low Rank ◽

Low Rank Representation

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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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