基于机载LiDAR数据提取城区道路

摘要

This paper uses the elevation and echo information of LiDAR data to obtain ground cloud with data filtering, extracts candidate road cloud based on intensity information,then refines the candidate road cloud by plane segmentation and gains the road boundry points in the end. Using this method in the study area to extract urban roads,the result is described with completeness, correctness and quality,whose values are 90.18%,84.70% and 77.55%respectively,for quantitative analysis .The test show the approach this paper presents to extract urban road has good result and high accuracy.%本文提出了一种利用机载LiDAR数据的高程信息和回波信息进行城区道路提取的方法，首先对点云进行数据滤波得到地面点云，然后根据强度信息提取城区候选道路点云，再应用平面分割的思想对候选道路点云进行提纯提高精度，最后提取出道路点云的精确边界点。采用该方法在研究区域进行道路提取，对道路提取结果用完成率、正确率和质量进行定量分析，其值分别为90.18%、84.70%和77.55%，结果表明道路提取总体精度较高，基本符合实际。