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Hyperspectral image denoising with superpixel segmentation and low-rank representation
Information Sciences
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10.1016/j.ins.2017.02.044
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2017
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Vol 397-398
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pp. 48-68
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Cited By ~ 51
Author(s):
Fan Fan
◽
Yong Ma
◽
Chang Li
◽
Xiaoguang Mei
◽
Jun Huang
◽
...
Keyword(s):
Image Denoising
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Hyperspectral Image
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Low Rank
◽
Superpixel Segmentation
◽
Low Rank Representation
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References
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 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
◽
Cited By ~ 1
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
◽
Cited By ~ 21
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
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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
Start Chat
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Hyperspectral Image Denoising Based on Superpixel Segmentation Low-Rank Matrix Approximation and Total Variation
Circuits Systems and Signal Processing
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10.1007/s00034-021-01938-9
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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)
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10.1109/icip.2015.7351075
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2015
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Cited By ~ 6
Author(s):
Mengdi Wang
◽
Jing Yu
◽
Weidong Sun
Keyword(s):
Image Denoising
◽
Hyperspectral Image
◽
Low Rank
◽
Low Rank Representation
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Download Full-text
Hyperspectral image denoising with segmentation-based low rank representation
2016 Visual Communications and Image Processing (VCIP)
◽
10.1109/vcip.2016.7805490
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2016
◽
Author(s):
Jiayi Ma
◽
Junjun Jiang
◽
Chang Li
Keyword(s):
Image Denoising
◽
Hyperspectral Image
◽
Low Rank
◽
Low Rank Representation
Start Chat
Download Full-text
Hyperspectral Image Reconstruction by Latent Low-Rank Representation for Classification
IEEE Geoscience and Remote Sensing Letters
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10.1109/lgrs.2018.2844555
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2018
◽
Vol 15
(9)
◽
pp. 1422-1426
◽
Cited By ~ 2
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
◽
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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Hyperspectral image denoising based on global and non-local low-rank factorizations
2017 IEEE International Conference on Image Processing (ICIP)
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10.1109/icip.2017.8296612
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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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