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    • Integration of a spatial-spectral structure with improved local density for hyperspectral image band selection

    • In the field of dimensionality reduction in hyperspectral remote sensing images, researchers have proposed a band selection method that combines spatial spectral structure with improved local density, effectively solving the problem of band selection in hyperspectral images and providing a new solution for hyperspectral image processing.
    • Vol. 29, Issue 1, Pages: 247-265(2025)   

      Received:04 July 2023

      Published:07 January 2025

    • DOI: 10.11834/jrs.20243227     

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  • Weng Q,An Y,Chen G J,Wu R J and Lin J W. 2025. Integration of a spatial-spectral structure with improved local density for hyperspectral image band selection. National Remote Sensing Bulletin, 29(1):247-265 DOI: 10.11834/jrs.20243227.
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相关作者

WEN 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
XIE Donghui 北京师范大学 地理科学学部 遥感科学国家重点实验室
LI Yi 北京师范大学 地理科学学部 遥感科学国家重点实验室
ZHOU Kun 北京师范大学 地理科学学部 遥感科学国家重点实验室
ZHANG Zhixiang 北京师范大学 地理科学学部 遥感科学国家重点实验室
JIN Lin 北京师范大学 地理科学学部 遥感科学国家重点实验室
YAN Guangjian 北京师范大学 地理科学学部 遥感科学国家重点实验室
MU Xihan 北京师范大学 地理科学学部 遥感科学国家重点实验室

相关机构

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing Normal University
Aerospace Information Research Institute, Chinese Academy of Sciences
School of Geography and Planning, Sun Yat-sen University
School of Automation Science and Engineering, South China University of Technology
Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences
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