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    • Combining UAV-LiDAR point clouds and SSAFormer algorithms for fine classification of mangrove communities

    • The latest research progress shows that experts have proposed a fine classification model for mangrove communities based on SSAFormer, which effectively improves classification accuracy.
    • Vol. 29, Issue 5, Pages: 1140-1163(2025)   

      Received:19 December 2023

      Published:07 May 2025

    • DOI: 10.11834/jrs.20243515     

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  • Zhang S R, Fu B L, Gao E T, Jia M M, Sun W W, Wu Y and Zhou G Q. 2025. Combining UAV-LiDAR point clouds and SSAFormer algorithms for fine classification of mangrove communities. National Remote Sensing Bulletin, 29(5):1140-1163 DOI: 10.11834/jrs.20243515.
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相关作者

ZHANG Shurong 桂林理工大学测绘地理信息学院
FU Bolin 桂林理工大学测绘地理信息学院
GAO Ertao 桂林理工大学测绘地理信息学院
JIA Mingming 中国科学院东北地理与农业生态研究所湿地生态与环境重点实验室
SUN Weiwei 宁波大学土木工程与地理环境学院
WU yan 桂林理工大学测绘地理信息学院
ZHOU Guoqing 桂林理工大学测绘地理信息学院
CHEN Jin 北京师范大学 地理科学学部

相关机构

Guilin University of Technology, College of Geomatics and Geoinformation
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
Department of Geography and Spatial Information Techniques
Faculty of Geography Science, Beijing Normal University
School of Geography and Planning, Sun Yat-sen University
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