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Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework
IEEE Transactions on Geoscience and Remote Sensing
◽
10.1109/tgrs.2019.2939512
◽
2021
◽
Vol 59
(4)
◽
pp. 3266-3276
Author(s):
Peyman Azimpour
◽
Tahereh Bahraini
◽
Hadi Sadoghi Yazdi
Keyword(s):
Image Denoising
◽
Latent Variable
◽
Hyperspectral Image
◽
Bayesian Framework
◽
Variational Bayesian
Download Full-text
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A Remote Sensing Image Registration Algorithm Based on Multiple Constraints and a Variational Bayesian Framework
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10.1080/2150704x.2021.1884916
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◽
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Remote Sensing
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Multiple Constraints
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Variational Bayesian
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Registration Algorithm
◽
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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
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Total Variation
◽
Hyperspectral Image
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Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising
2020 International Joint Conference on Neural Networks (IJCNN)
◽
10.1109/ijcnn48605.2020.9207509
◽
2020
◽
Author(s):
Yuqiao Liu
◽
Yanan Sun
◽
Bing Xue
◽
Mengjie Zhang
Keyword(s):
Neural Networks
◽
Image Denoising
◽
Convolutional Neural Networks
◽
Hyperspectral Image
◽
Deep Convolutional Neural Networks
Download Full-text
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
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2017
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Author(s):
Fan Xu
◽
Xiao Bai
◽
Jun Zhou
Keyword(s):
Image Denoising
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Hyperspectral Image
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Tensor Decomposition
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Local Similarity
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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
◽
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◽
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 via minimizing the partial sum of singular values and superpixel segmentation
Neurocomputing
◽
10.1016/j.neucom.2018.11.039
◽
2019
◽
Vol 330
◽
pp. 465-482
◽
Cited By ~ 7
Author(s):
Yang Liu
◽
Caifeng Shan
◽
Quanxue Gao
◽
Xinbo Gao
◽
Jungong Han
◽
...
Keyword(s):
Image Denoising
◽
Hyperspectral Image
◽
Singular Values
◽
Superpixel Segmentation
◽
Partial Sum
Download Full-text
Enhanced Unmixing-Based Hyperspectral Image Denoising Using Spatial Preprocessing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
◽
10.1109/jstars.2015.2439031
◽
2015
◽
Vol 8
(6)
◽
pp. 2720-2727
◽
Cited By ~ 8
Author(s):
Alp Erturk
Keyword(s):
Image Denoising
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Hyperspectral Image
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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
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Cited By ~ 3
Author(s):
Jiayi Ma
◽
Chang Li
◽
Yong Ma
◽
Zhongyuan Wang
Keyword(s):
Image Denoising
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Hyperspectral Image
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Low Rank
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Superpixel Segmentation
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Low Rank Representation
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