Hyperspectral Image Restoration via Subspace-Based Nonlocal Low-Rank Tensor Approximation-Reference-Cited by-同舟云学术

Hyperspectral Image Restoration via Subspace-Based Nonlocal Low-Rank Tensor Approximation

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Yang Yanhong¹^ORCID,Feng Yuan²^ORCID,Zhang Jianhua¹^ORCID,Chen Shengyong¹^ORCID

Affiliation:

1. Key Laboratory of Computer Vision and Systems (Ministry of Education), School of Computer Science and Engineering, Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin University of Technology, Tianjin, China

2. College of Science, Zhejiang University of Technology, Hangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09676596.pdf?arnumber=9676596

Reference21 articles.

1. Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising