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Thermal Hyperspectral Image Denoising Using Total Variation Based on Bidirectional Estimation and Brightness Temperature Smoothing
IEEE Geoscience and Remote Sensing Letters
◽
10.1109/lgrs.2021.3066627
◽
2021
◽
pp. 1-5
Author(s):
Xinyuan Miao
◽
Ye Zhang
◽
Junping Zhang
Keyword(s):
Brightness Temperature
◽
Image Denoising
◽
Total Variation
◽
Hyperspectral Image
Download Full-text
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References
A Comparative Analysis of Total Variation and Least Square Based Hyperspectral Image Denoising Methods
2018 International Conference on Communication and Signal Processing (ICCSP)
◽
10.1109/iccsp.2018.8524265
◽
2018
◽
Author(s):
Naveen Varghese Jacob
◽
V Sowmya
◽
K P Soman
Keyword(s):
Comparative Analysis
◽
Image Denoising
◽
Total Variation
◽
Hyperspectral Image
◽
Least Square
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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
◽
Cited By ~ 4
Author(s):
Taner Ince
Keyword(s):
Image Denoising
◽
Total Variation
◽
Hyperspectral Image
◽
Low Rank
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Hyperspectral image denoising by total variation-regularized bilinear factorization
Signal Processing
◽
10.1016/j.sigpro.2020.107645
◽
2020
◽
Vol 174
◽
pp. 107645
Author(s):
Yongyong Chen
◽
Jiaxue Li
◽
Yicong Zhou
Keyword(s):
Image Denoising
◽
Total Variation
◽
Hyperspectral Image
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Hyperspectral Image Denoising with Collaborative Total Variation and Low Rank Regularization
10.1109/igarss47720.2021.9554884
◽
2021
◽
Author(s):
Lu Yang
◽
Jinhuan Xu
◽
Liang Xiao
Keyword(s):
Image Denoising
◽
Total Variation
◽
Hyperspectral Image
◽
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 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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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
Download Full-text
Hyperspectral image denoising via global spatial-spectral total variation regularized nonconvex local low-rank tensor approximation
Signal Processing
◽
10.1016/j.sigpro.2020.107805
◽
2021
◽
Vol 178
◽
pp. 107805
Author(s):
Haijin Zeng
◽
Xiaozhen Xie
◽
Jifeng Ning
Keyword(s):
Image Denoising
◽
Total Variation
◽
Hyperspectral Image
◽
Low Rank
◽
Rank Tensor
◽
Tensor Approximation
Download Full-text
Hyperspectral Image Denoising Using Spatio-Spectral Total Variation
IEEE Geoscience and Remote Sensing Letters
◽
10.1109/lgrs.2016.2518218
◽
2016
◽
pp. 1-5
◽
Cited By ~ 43
Author(s):
Hemant Kumar Aggarwal
◽
Angshul Majumdar
Keyword(s):
Image Denoising
◽
Total Variation
◽
Hyperspectral Image
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Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model
IEEE Transactions on Geoscience and Remote Sensing
◽
10.1109/tgrs.2012.2185054
◽
2012
◽
Vol 50
(10)
◽
pp. 3660-3677
◽
Cited By ~ 260
Author(s):
Qiangqiang Yuan
◽
Liangpei Zhang
◽
Huanfeng Shen
Keyword(s):
Image Denoising
◽
Total Variation
◽
Hyperspectral Image
◽
Total Variation Model
◽
Adaptive Total Variation
◽
Variation Model
Download Full-text
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