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    • Multifeature deep subspace clustering for hyperspectral band selection

    • In the field of hyperspectral image processing, experts have proposed a deep subspace clustering method based on multiple features, which effectively overcomes the problem of band selection and provides a new solution for hyperspectral image analysis.
    • Vol. 28, Issue 1, Pages: 132-141(2024)   

      Received:20 October 2022

      Published:07 January 2024

    • DOI: 10.11834/jrs.20232505     

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  • He K,Sun W W,Huang K,Chen B J and Yang G. 2024. Multi-feature deep subspace clustering for hyperspectral band selection. National Remote Sensing Bulletin, 28(1):132-141 DOI: 10.11834/jrs.20232505.
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相关作者

Weiwei SUN 宁波大学 地理与空间信息技术系
Gang YANG 宁波大学 地理与空间信息技术系
Jiangtao PENG 湖北大学 数学与统计学学院, 湖北省应用数学重点实验室
XiangChao MENG 宁波大学 信息科学与工程学院
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
DUAN Yilin 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 Mathematics and Statistics, Hubei University
Faculty of Electrical Engineering and Computer Science, Ningbo University
School of Geography and Planning, Sun Yat-sen University
Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences
School of Forestry and Landscape Architecture, Anhui Agricultural University
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