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    • LAE-Transformer: An airborne LiDAR point cloud segmentation network incorporating local-aware enhancement

    • In the field of airborne LiDAR point cloud segmentation, researchers have proposed the LAE Transformer network, which effectively improves the accuracy of small-scale object segmentation and provides a new direction for research in this field.
    • Vol. 29, Issue 11, Pages: 3363-3377(2025)   

      Received:25 October 2024

      Published:07 November 2025

    • DOI: 10.11834/jrs.20254478     

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  • Ku M F,Zhang L,Deng J W,Wang G S,Wang X W and Liu H Z. 2025. LAE-Transformer: An airborne LiDAR point cloud segmentation network incorporating local-aware enhancement. National Remote Sensing Bulletin, 29(11):3363-3377 DOI: 10.11834/jrs.20254478.
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相关作者

KU Minfan 湖北大学 资源环境学院
ZHANG Liang 湖北大学 资源环境学院;天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司
Deng Jiwei 天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司
WANG Guangshuai 天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司
WANG Xinwen 湖北大学 资源环境学院
LIU Hengzhi 湖北大学 资源环境学院
YU Chunyan 大连海事大学 信息科学技术学院 高光谱遥感中心
LI Donglin 大连海事大学信息科学技术学院 高光谱遥感中心

相关机构

Center of Hyperspectral Imaging in Remote Sensing of Dalian Maritime University
Remote Sensing Signal and Image Processing Laboratory, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore
College of Artificial Intelligence, China University of Petroleum
Beijing Key Laboratory of Petroleum Data Mining
School of Computer Science and Software Engineering, Southwest Petroleum University
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