森林工程2024，Vol.40Issue(1)：142-151,10.DOI:10.3969/j.issn.1006-8023.2024.01.017
融合无人机和地基激光雷达点云数据估测单木结构参数
Fusion of UAV and TLS LiDAR Point Cloud Data for Estimating Individual Tree Structure Parameters
摘要
Abstract
Light detection and ranging(LiDAR),as an active remote sensing technology,is able to obtain information on the spa-tial structure of forests by emitting laser energy and receiving the return information,however,when used alone there is a scanning blind spot and a complete 3D point cloud of forest trees cannot be obtained.Based on this,this study proposes a method for estimating the structural parameters of a individual tree by fusing UAV and TLS LiDAR point clouds,and realizes point cloud fusion by using a registration method based on ground features and tree position relationships.Based on this,an improved K-means hierarchical cluste-ring segmentation algorithm is proposed to complete the individual tree segmentation,and then based on the segmented individual tree point cloud,the axis-aligned bounding box algorithm and the least squares fitting circle method are used to extract the height of the in-dividual tree and diameter at breast height respectively,and finally estimate the biomass of a individual tree through the biomass allo-metric growth equation.The research results show that the Coefficient of Deter mination(R2)of tree height,diameter at breast height and individual tree biomass of Quercus mongolica sample plots are 0.84,0.93,0.91 respectively,and the root mean square error(RMSE)of individual tree structure parameters are 0.75 m,0.96 cm,26.31 kg/plant respectively.The R2 of tree height,diameter at breast height and individual tree biomass in the Pinus sylvestris plot are 0.92,0.96,and 0.95,respectively,and the corresponding root mean square errors are 0.43 m,1.06 cm,and 26.12 kg/plant,respectively.The fusion of UAV and TLS LiDAR point cloud pro-vides a reliable data basis for the rapid and complete acquisition of forest structure information,and provides a strong technical support for the deep forestry application of joint multi-source LiDAR technology.关键词
无人机LiDAR/地基LiDAR/点云融合/单木分割/单木结构参数Key words
UAV LiDAR/TLS LiDAR/point cloud fusion/individual tree segmentation/individual tree structure parameters分类
农业科技引用本文复制引用
丁志文,邢艳秋,尹伯卿,郭振..融合无人机和地基激光雷达点云数据估测单木结构参数[J].森林工程,2024,40(1):142-151,10.基金项目
国家重点研发计划项目(2021YFE0117700-6). （2021YFE0117700-6）
