Ensemble learning in remote sensing applications： Progress and prospects

DU Peijun; MU Haowei; GUO Shanchuan; CHEN Yu; ZHANG Xin’gang; TANG Pengfei

doi:10.11834/jrs.20254398

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Ensemble learning in remote sensing applications： Progress and prospects
- role：First author第一作者
- Affiliation：
  School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China
  Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
- Email：peijun@nju.edu.cn
- Introduction：杜培军，研究方向为城市遥感与地理空间智能。E-mail： peijun@nju.edu.cn
DU Peijun
123 * ,
- Affiliation：
  School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China
  Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
MU Haowei
123 * ,
- Affiliation：
  School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China
  Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
GUO Shanchuan
123 * ,
- Affiliation：
  School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
CHEN Yu
4 * ,
- Affiliation：
  School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China
  Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
ZHANG Xin’gang
123 * ,
- Affiliation：
  School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China
  Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
TANG Pengfei
123 *
Vol. 29, Issue 6, Pages: 1614-1635(2025)
DOI：10.11834/jrs.20254398
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Ensemble learning in remote sensing applications： Progress and prospects

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Ensemble learning in remote sensing applications： Progress and prospects

DU Peijun

MU Haowei

GUO Shanchuan

CHEN Yu

ZHANG Xin’gang

TANG Pengfei

DOI：10.11834/jrs.20254398

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