Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising-Reference-Cited by-同舟云学术

Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising

Published:2022 Issue: Volume:60 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Yong¹^ORCID,He Wei²^ORCID,Zhao Xi-Le³^ORCID,Huang Ting-Zhu³^ORCID,Zeng Jinshan¹^ORCID,Lin Hui⁴

Affiliation:

1. School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China

2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

3. School of Mathematical Sciences, Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, China

4. Key Laboratory of Poyang Lake Wetland and Watershed Research of Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, China

Funder

NSFC

Key Projects of Applied Basic Research in Sichuan Province

National Key Research and Development Program of China

Thousand Talents Plan of Jiangxi Province

Central Guided Local Science and Technology Development Special Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09868796.pdf?arnumber=9868796

Reference71 articles.

1. Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery

2. A trainable spectral-spatial sparse coding model for hyperspectral image restoration;bodrito;Proc Adv Neural Inf Process Syst,2021

3. Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling

4. Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

5. Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising

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