提出一种利用强度信息聚类提取机载LiDAR点云道路的方法,并综合利用回波次数信息与高程信息对分类结果进行进一步精化。采用北京凤凰岭地区某块机载LiDAR数据进行试验,试验结果表明,通过强度信息聚类从LiDAR点云中提取道路能取得一定效果,但误差较大;经过回波次数和高程信息筛选精化后,试验效果得到明显提升,大量的误分点被去除,道路点云得到较好的保留。 A method for extracting airborne LiDAR point cloud by using intensity information clustering is proposed, and the classification results are further refined by using echo number information and elevation information comprehensively. The experiment was carried out on a piece of airborne LiDAR data in Fenghuangling area of ​​Beijing. The experimental results show that the extraction of road from LiDAR point cloud by intensity information clustering can achieve a certain effect, but the error is larger; after the echo times and elevation information screening After the test results have been significantly improved, a large number of misclassification points are removed, the road point cloud get better retention.