车载激光点云数据中行道树三维信息自动提取研究

Automatic Extraction of Street Tree 3D Information Based on Vehicle-borne LiDAR Point Cloud

城市行道树三维信息是城市智慧管理的重要基础信息之一,本文研究了一种基于车载激光点云数据的行道树三维信息自动提取方法。首先,根据行道树点云和周围地面点计算树高;然后,针对残缺树冠点云,应用点云不同方位距离对比计算冠幅;最后,根据树干扫描分层点云,运用RANSAC算子拟合圆模型,计算胸径。通过实际测量数据进行验证,本文方法提取出的行道树信息误差较小,精度较高。

Aiming at the problem of time consuming and laborious measurement of attribute information of street trees,this paper presents an automatic extraction method of 3D information of street trees based on vehicle-borne LiDAR point cloud. According to the tree point and the surrounding ground point,the tree height is calculated. Then aim at incomplete crown,the crown width is calculated based on the point cloud distance of different azimuth. Finally,according to the layered trunk point cloud,circle model is fitted by RANSAC and the diameter is calculated. Through the actual measurement data,the tree information extracted by this method is less error,and has higher accuracy.