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    • Development of deep learning-based hyperspectral remote sensing image unmixing

    • Hyperspectral remote sensing technology has made new progress in fine ground information extraction, and new deep learning based unmixing methods have shown broad application prospects.
    • Vol. 28, Issue 1, Pages: 1-19(2024)   

      Received:22 May 2023

      Published:07 January 2024

    • DOI: 10.11834/jrs.20243165     

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  • Su Y C,Xu R Q,Gao L R,Han Z and Sun X. 2024. Development of deep learning-based hyperspectral remote sensing image unmixing. National Remote Sensing Bulletin, 28(1):1-19 DOI: 10.11834/jrs.20243165.
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相关作者

CHEN Jin 北京师范大学 地理科学学部
LIU Tianyu 北京师范大学 地理科学学部
SHI Qian 中山大学 地理科学与规划学院
DONG Jinwei 中国科学院地理科学与资源研究所
CHEN Yang 中国科学院空天信息创新研究院
YU Long 中山大学 地理科学与规划学院
ZHUO Li 中山大学 地理科学与规划学院
LI Jun 中国地质大学(武汉) 计算机学院, 智能地学信息处理湖北省重点实验室

相关机构

Faculty of Geography Science, Beijing Normal University
School of Geography and Planning, Sun Yat-sen University
Institute of Geographic Sciences and Resources, Chinese Academy of Sciences
Aerospace Information Research Institute, Chinese Academy of Sciences
Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences
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