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

作　　者：李玉兵 王鹏[2] LI Yubing;WANG Peng(Ji′nan Institute of Real Estate Surveying and Mapping,Ji′nan 250001,China;College of Geomatics,Shandong University of Science and Technology,Qingdao 266590,China)

机构地区：[1]济南市房产测绘研究院,山东济南250001 [2]山东科技大学测绘科学与工程学院,山东青岛266590

出　　处：《测绘与空间地理信息》2018年第8期40-43,共4页Geomatics & Spatial Information Technology

基　　金：海洋公益性行业科研专项经费项目(201305034-1);国家重大仪器设备开发专项(2013YQ120343);测绘公益性行业科研专项经费资助项目(201512034);山东科技大学人才引进科研启动基金项目(2016RCJJ004)资助

摘　　要：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.

关 键 词：LIDAR点云 行道树 三维信息 自动提取 

分 类 号：P228[天文地球—大地测量学与测量工程]