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    • Ensemble learning in remote sensing applications: Progress and prospects

    • In the field of remote sensing, ensemble learning improves decision-making performance through the combination of multiple learners. Experts have summarized its research progress in target recognition, land cover classification, and other areas, providing new directions for the transformation of remote sensing data into geological knowledge.
    • Vol. 29, Issue 6, Pages: 1614-1635(2025)   

      Received:10 September 2024

      Published:07 June 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, 29(6):1614-1635 DOI: 10.11834/jrs.20254398.
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相关作者

DU Peijun 南京大学 地理与海洋科学学院;自然资源部国土卫星遥感应用重点实验室;江苏省地理信息资源开发与利用协同创新中心
ZHANG Xingang 南京大学 地理与海洋科学学院;自然资源部国土卫星遥感应用重点实验室;江苏省地理信息资源开发与利用协同创新中心
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LI Yunsong 西安电子科技大学 空天地一体化综合业务网全国重点实验室
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相关机构

State Key Laboratory of Integrated Services Networks, Xidian University
Institute of Earthquake Forecasting, China Earthquake Administration
Henan Earthquake Agency
School of Geography, Nanjing Normal University
Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education
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