LSENet： Local Subdomain-aware and Edge-enhance Dynamic Fusion Network for Semantic Segmentation of Airborne LiDAR Point Cloud

JI Dali; WANG Yongbo; ZHENG Nanshan; YANG Min

doi:10.11834/jrs.20266118

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LSENet： Local Subdomain-aware and Edge-enhance Dynamic Fusion Network for Semantic Segmentation of Airborne LiDAR Point Cloud
“Airborne LiDAR point cloud semantic segmentation is an important foundation for fine interpretation and scene understanding of 3D terrain. It has significant application value in fields such as smart city construction, urban 3D modeling, transportation infrastructure extraction, national spatial survey, and ecological environment monitoring. The research progress of airborne LiDAR point cloud semantic segmentation is introduced, and the research team has established the LSENet network system to provide a solution to the problem of insufficient coordination between local geometric structure characterization and contextual modeling.”
- role：First author第一作者
- Affiliation：
  Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
  Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
- Email：qq1339899624@163.com
- Introduction：姬大力，研究方向为基于深度学习的LiDAR点云数据处理。E-mail： qq1339899624@163.com
JI Dali
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
  Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
- Email：ybwang816@163.com
- Introduction：王永波，研究方向为多模态点云配准；基于深度学习的LiDAR点云数据处理；基于LiDAR点云的地理实体表面形态特征提取、分析及其三维拓扑重建；基于地面LiDAR点云与近景摄影影像相结合的数字城市混合建模等。E-mail： ybwang816@163.com
WANG Yongbo
12 * ,
- Affiliation：
  Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
  Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
ZHENG Nanshan
12 * ,
- Affiliation：
  Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
  Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
YANG Min
12 *
Pages: 1-15(2026)
DOI：10.11834/jrs.20266118
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LSENet： Local Subdomain-aware and Edge-enhance Dynamic Fusion Network for Semantic Segmentation of Airborne LiDAR Point Cloud

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LSENet： Local Subdomain-aware and Edge-enhance Dynamic Fusion Network for Semantic Segmentation of Airborne LiDAR Point Cloud

JI Dali

WANG Yongbo

ZHENG Nanshan

YANG Min

DOI：10.11834/jrs.20266118

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