Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain-Reference-Cited by-同舟云学术

Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Hao¹^ORCID,Huang Ting-Zhu¹^ORCID,Zhao Xi-Le¹^ORCID,He Wei²^ORCID,Choi Jae Kyu³,Zheng Yu-Bang¹^ORCID

Affiliation:

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

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

3. School of Mathematical Sciences, Tongji University, Shanghai, China

Funder

NSFC

Key Project of Applied Basic Research in Sichuan Province

Applied Basic Research Project of Sichuan Province

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10019288.pdf?arnumber=10019288

Reference73 articles.

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