Robust Multiscale Spectral–Spatial Regularized Sparse Unmixing for Hyperspectral Imagery-Reference-Cited by-同舟云学术

Robust Multiscale Spectral–Spatial Regularized Sparse Unmixing for Hyperspectral Imagery

Published:2024 Issue: Volume:17 Page:1269-1285
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Wang Ke¹^ORCID,Zhong Lei²^ORCID,Zheng Jiajun³^ORCID,Zhang Shaoquan³^ORCID,Li Fan¹^ORCID,Deng Chengzhi³^ORCID,Cao Jingjing⁴^ORCID,Su Dingli⁵^ORCID

Affiliation:

1. Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences, Wuhan, China

2. Third Surveying and Mapping Institute of Hunan Province, Changsha, China

3. Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang, China

4. College of Computer Sciences, Guangdong Polytechnic Normal University, Guangzhou, China

5. Guangzhou Institute of Building Science Group Company Ltd., Guangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Training Program for Academic and Technical Leaders of Jiangxi Province

Chinese Ministry of Education Chunhui Plan Collaborative Research Project

Guangdong Provincial Department of Housing and Urban-Rural Development Science and Technology Plan Project

Science and Technology Project of Guangzhou Construction Company Ltd.

Research Project of China Construction Enterprise Management Association

Publisher

Institute of Electrical and Electronics Engineers (IEEE)