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    • Ensemble learning in remote sensing applications: Progress and prospects

    • Pages: 1-22(2025)   

      Received:10 September 2024

      Published Online:21 March 2025

    • DOI: 10.11834/jrs.20254398     

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  • Du P J,Mu H W,Guo S C,Chen Y,Zhang X G and Tang P F. 2025. Ensemble learning in remote sensing applications: Progress and prospects. National Remote Sensing Bulletin, XX(XX):1-22 DOI: 10.11834/jrs.20254398.
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相关作者

MA Qin 南京师范大学 地理科学学院;南京师范大学 虚拟地理环境教育部重点实验室;江苏省地理信息资源开发与利用协同创新中心
ZHANG Xu 南京师范大学 地理科学学院
YUAN Jingyi 南京师范大学 地理科学学院
GONG Zitong 南京师范大学 地理科学学院
SHANG Rong 福建师范大学 地理科学学院湿润亚热带生态—地理过程教育部重点实验室
CHENG Kai 北京大学 遥感与地理信息系统研究所
TAN Qiyun 北京远度互联科技有限公司
JU Weimin 南京大学 国际地球系统科学研究所

相关机构

School of Geography, Nanjing Normal University
Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Key Laboratory of Humid Subtropical Eco-Geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University
Institute of Remote Sensing and Geographic Information System, Peking University
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