基于三维激光点云数据获取树木几何参数的研究

无人机(Unmanned Aerial Vehicle,UAV)遥感可快捷获取高分辨率正射影像。本文探讨利用无人机采集高分辨率影像,生成三维点云数据获取树高和冠幅,并与实测数据对比。实验地点选择北京市京西林场,采用无人机搭载激光雷达扫描系统获取点云数据,使用LiDAR360软件进行数据处理分析,获取树木位置、株数、树高、树冠直径等信息,并与实测数据对比,结果表明:最大类间方差法可分割树木点云数据;利用三维点云技术可获取树木高度及冠幅;树高提取平均精度为94%,冠幅提取平均精度为89%。

Obtaining Geometric Parameters of Trees Based on 3D Laser Point Cloud Data

UAV remote sensing can obtain high-resolution image quickly.In this paper,the UAV is used to collect high-resolution images and generate three-dimensional point cloud data to obtain tree height and crown,which are compared with the ground measured data.The experimental site is scanned by UAV equipped with Lidar scanning system to obtain point cloud data.LiDAR 360 software is used for data processing and analysis to obtain tree position,number,height,diameter and other information.The results showed that the maximum variance method can segment the tree point cloud data;the tree height and crown can be obtained by using the three-dimensional point cloud technology;the average accuracy of tree height extraction is 94%,and the average accuracy of crown extraction is 89%.