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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
WENG Qian 福州大学 计算机与大数据学院;空间数据挖掘与信息共享教育部重点实验室
AN Yuan 福州大学 计算机与大数据学院
CHEN Guangjian 福建省地质测绘院
WU Ruijiao 福建省地质测绘院

相关机构

Faculty of Mathematics and Statistics, Hubei University
Faculty of Electrical Engineering and Computer Science, Ningbo University
College of Computer and Data Science, Fuzhou University
Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education
Fujian Geologic Surveying and Mapping Institute
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