面向智慧交通的移动激光点云树木分割

Delineation of Individual Tree Crowns from Mobile Laser Scanning Data for Intelligent Transportation

单树分割有利于提取交通标志牌,减少对交通标志的遮挡影响.针对有效采集到的道路两旁树木的点云数据,提出了一种改进的分水岭车载激光扫描的树木分割方法.该方法包含5个步骤:1)利用RANSAC(random sample consensus)自动检测和剔除地面点;2)压缩所有地面点到图像网格并保留三维信息;3)简化和去除不合格网格;4)利用启发式搜索方法查找树峰;5)应用改进分水岭方法划分单树树冠.通过对福建省厦门市环岛路进行实地采集的点云数据进行实验,验证了所提出的分割模型对于车载林木点云数据具有较好的分割结果.

With the development of light detection and ranging （I.iDAR） technology, 3-dimenisonal （3D） structure of trees can be generated in point clouds with high spatial resolution and accuracy.Individual tree segmentations are used to derive tree structural at- tributes such as tree height,crown diameter,and stem position among others.In this study, a framework is proposed to take advan- tage of the detailed structures of tree crowns which are represented in the mobile laser scanning （MLS） data.This framework con- sists of five steps：l） Automatically detect and remove ground points using RANSAC; 2） Compress all the above-ground points to image grid with 3D knowledge reserved;3） Simplify and remove unqualified grids;4） Find tree peaks by using a heuristic searching method; 5） Delineate individual tree crowns by applying a modified watershed method.In an experiment on the point clouds on Xia men Island,China,individual tree crowns from MLS point cloud data are successfully extracted.