Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation-Reference-Cited by-同舟云学术

Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation

Published:2022 Issue: Volume:60 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Peng Jiangjun¹^ORCID,Wang Hailin¹^ORCID,Cao Xiangyong²^ORCID,Liu Xinling³^ORCID,Rui Xiangyu¹,Meng Deyu¹^ORCID

Affiliation:

1. School of Mathematics and Statistics and the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, Shaanxi, China

2. School of Computer Science and Technology and the Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China

3. School of Mathematics and Statistics, Southwest University, Chongqing, China

Funder

National Key Research and Development Program of China

Major Key Project of Pengcheng Laboratory

Macao Science and Technology Development Fund

China NSFC Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09989343.pdf?arnumber=9989343