地理空间信息2025，Vol.23Issue(5)：29-32,4.DOI:10.3969/j.issn.1672-4623.2025.05.006
利用点云数据自动提取树木参数与仿真重建
Automatic Extraction and Simulation Reconstruction of Tree Parameters Based on Point Cloud Data
摘要
Abstract
Aiming at the difficulty in tree parameter automatic extraction and large errors in single tree segmentation,we proposed a single tree segmentation method and a fully automatic extraction method for tree parameter estimation based on CHM contour optimization.Firstly,we obtained the forest DEM and DTM data through point cloud filtering,and obtained the forest CHM by subtracting DEM and DTM.Then,we performed sliding window analysis on CHM to extract the crown vertex set for single tree segmentation,and designed a segmentation optimization method based on density contours to address the under-segmentation problem.Finally,we designed an automatic extraction method for tree morphological structure parameters(crown volume,diameter at breast height)based on the segmentation results,and used these parameters to conduct tree simulation.Experimental results show that the proposed method makes the extracted single tree point cloud data more accurate,which is conducive to improving the accuracy of tree parameter calculation.Through street trees collected in the experimental area,we realized 1∶1 simulation of trees on both sides of road,providing an effective solution for digital twin tree simulation and forest parameter estimation in urban environment.关键词
激光点云数据/单木分割/CHM/树木参数/仿真Key words
LiDAR point cloud data/single tree segmentation/CHM/tree parameter/simulation分类
天文与地球科学引用本文复制引用
罗建新,寇媛,王军军,刘华光..利用点云数据自动提取树木参数与仿真重建[J].地理空间信息,2025,23(5):29-32,4.基金项目
湖南省自然资源厅2022年重大科技研究资助项目(湘自资科[2022]3号) （湘自资科[2022]3号）
2024年度湖南省自然科学基金项目部门联合基金资助项目(2024JJ8327). （2024JJ8327）
