Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising

2015 IEEE International Conference on Computer Vision (ICCV) ◽

10.1109/iccv.2015.47 ◽

2015 ◽

Author(s):

Ying Fu ◽

Antony Lam ◽

Imari Sato ◽

Yoichi Sato

Keyword(s):

Image Denoising ◽

Dictionary Learning ◽

Hyperspectral Image

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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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Nonparametric Bayesian Tensor Dictionary Learning for Hyperspectral Image Denoising

10.1145/3490725.3490745 ◽

2021 ◽

Author(s):

Jinzhi Lai ◽

Jing Jiang ◽

Yanjun Jiang ◽

Xuesong Zhang

Keyword(s):

Image Denoising ◽

Dictionary Learning ◽

Hyperspectral Image ◽

Nonparametric Bayesian

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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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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

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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

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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

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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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Non-local similarity based tensor decomposition for hyperspectral image denoising

2017 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2017.8296610 ◽

2017 ◽

Author(s):

Fan Xu ◽

Xiao Bai ◽

Jun Zhou

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Tensor Decomposition ◽

Local Similarity ◽

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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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