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    • Dynamic selection algorithm for collaborative representation of hyperspectral remote sensing based on joint spatial information

    • In the field of hyperspectral remote sensing image classification, researchers have proposed dynamic ensemble algorithms VKS and VKSA that combine spatial information, effectively improving classification accuracy.
    • Vol. 28, Issue 1, Pages: 187-202(2024)   

      Received:06 November 2021

      Published:07 January 2024

    • DOI: 10.11834/jrs.20221704     

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  • Yu Y, Su H J and Tao Y. 2024. Dynamic selection algorithm for collaborative representation of hyperspectral remote sensing based on joint spatial information. National Remote Sensing Bulletin, 28(1):187-202 DOI: 10.11834/jrs.20221704.
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相关作者

Yao Yu 江苏省基础地理信息中心
Hongjun Su 河海大学地球科学与工程学院
Yang Tao 江苏省基础地理信息中心
SU Hongjun 河海大学 地球科学与工程学院
YAO Wenjing 河海大学 地球科学与工程学院
WU Zhaoyue 河海大学 地球科学与工程学院
Yi CEN 中国科学院空天信息创新研究院 遥感科学国家重点实验室
Yueming WANG 中国科学院上海技术物理研究所 中国科学院空间主动光电技术重点实验室

相关机构

School of Earth Sciences and Engineering, Hohai University
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences
School of Computer and Software, Shenzhen University
Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources
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