Local Spectral Similarity-Guided Sparse Unmixing of Hyperspectral Images With Spatial Graph Regularization-Reference-Cited by-同舟云学术

Local Spectral Similarity-Guided Sparse Unmixing of Hyperspectral Images With Spatial Graph Regularization

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liang Bingkun¹^ORCID,Li Fan²^ORCID,Zhang Shaoquan²^ORCID,Plaza Antonio³^ORCID,Deng Chengzhi²,Lai Pengfei²^ORCID,Zheng Jiajun²^ORCID,Wang Shengqian²,Su Dingli⁴

Affiliation:

1. School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

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

3. Department of Technology of Computers and Communications, Escuela Politécnica, Hyperspectral Computing Laboratory, University of Extremadura, Cáceres, Spain

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

Funder

National Natural Science Foundation of China

Training Program for Academic and Technical Leaders of Jiangxi Province

Jiangxi Provincial Natural Science Foundation

Chinese Ministry of Education Chunhui Plan Collaborative Research Project

Science and Technology Project of Guangzhou Municipal Construction Group Company Ltd.

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

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering