Hyperspectral image denoising with enhanced multivariance product representation

Signal Image and Video Processing ◽

10.1007/s11760-021-02062-6 ◽

2022 ◽

Author(s):

Evrim Korkmaz Özay ◽

Burcu Tunga

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Product Representation ◽

Enhanced Multivariance Product Representation

Download Full-text

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

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

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 ◽

Author(s):

Yong-Qiang Zhao ◽

Jingxiang Yang

Keyword(s):

Sparse Representation ◽

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Rank Constraint

Download Full-text

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 ◽

Download Full-text

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 ◽

Download Full-text

A Hyperspectral Image Denoising Approach via Low-Rank Matrix Recovery and Greedy Bilateral

10.1109/rivf51545.2021.9642145 ◽

2021 ◽

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

Download Full-text

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 ◽

Author(s):

Yang Liu ◽

Caifeng Shan ◽

Quanxue Gao ◽

Xinbo Gao ◽

Jungong Han ◽

...

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Singular Values ◽

Superpixel Segmentation ◽

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 ◽

Author(s):

Alp Erturk

Keyword(s):

Image Denoising ◽

Hyperspectral Image

Download Full-text

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

Download Full-text