北京测绘2025，Vol.39Issue(10)：1468-1472,5.DOI:10.19580/j.cnki.1007-3000.2025.10.010
一种融合DOM和GNSS实测点数据的LiDAR点云地面点提取方法
A method for extracting ground points from LiDAR point clouds by integrating DOM and GNSS measured point data
摘要
Abstract
In view of the varying penetration capabilities of different airborne light detection and ranging(LiDAR)devices for vegetation and the prevalent issue of low automatic classification accuracy in filtering algorithms,this paper proposed a method for extracting ground points from LiDAR point clouds by integrating global navigation satellite system(GNSS)mea-sured point data.This method divided the region based on texture information derived from a digital orthophoto map(DOM).Subsequently,it employed GNSS-measured elevation points for judgment.For areas with poor penetration by the device,a triangulated irregular network(TIN)was constructed based on GNSS-measured points as the reference surface,and polynomial fitting was applied regionally for correction.The results indicate that after fitting,the point cloud accuracy improves significantly,with 86％of the point cloud falling within a±0.1 m error,representing a 63％increase,and 94％of the point cloud falls within a±0.2 m error,marking a 47％increase.The method proposed in this paper can effectively enhance the accuracy of ground point extraction from point clouds in high-density vegetation areas.关键词
数据融合/无人机/激光雷达(LiDAR)点云/高精度正射影像(DOM)/拟合校正Key words
data fusion/unmanned aerial vehicle(UAV)/light detection and ranging(LiDAR)point cloud/high-precision digital orthophoto map(DOM)/fitting correction分类
测绘与仪器引用本文复制引用
王永敏,魏小岛,井然..一种融合DOM和GNSS实测点数据的LiDAR点云地面点提取方法[J].北京测绘,2025,39(10):1468-1472,5.基金项目
中国长江三峡集团有限公司科研项目(202103552) （202103552）
