车载激光点云在城市行道树普查几何属性提取中的应用
Application of vehicle-mounted laser point clouds in extraction of geometric attributes of urban street tree survey
刘也 1梁文彪1
作者信息
- 1. 常州市测绘院,江苏 常州 213000;常州市地理信息智能技术中心,江苏 常州 213000
- 折叠
摘要
行道树是城市景观系统的重要组成部分,具有丰富的生态、环境和美学价值.传统的行道树普查采用人工实地调研进行,效率低.本文介绍了车载激光点云在城市行道树普查几何属性提取中的应用,通过车载激光点云去噪、地面点滤波、点云归一化、单木分割和几何属性信息提取等步骤获取行道树几何信息.实验表明,利用车载激光点云提取行道树几何信息,单木胸径提取精度达到厘米级,横坐标、纵坐标、树高、冠幅等几何信息精度达到分米级,覆盖面积精度达米级,充分说明了本文方法的有效性,大幅提升了行道树普查的效率.
Abstract
Street tree is an important part of the urban landscape system,which has rich ecological,environmental,and aesthetic values.Traditional street tree survey is carried out by inefficient manual field investigation.This paper introduced the application of vehicle-mounted laser point clouds in the extraction of geometric attributes of urban street tree survey and obtained the geometric information of the street trees through the steps of vehicle-mounted laser point cloud denoising,ground point filtering,point cloud normalization,single wood segmentation,and geometric attribute information extraction.Experiments show that by using vehicle-mounted laser point clouds to extract the geometric information of the street trees,the extraction accuracy of single wood diameter at breast height(DBH)reaches the centimeter level;the extraction accuracy of horizontal coordinate,vertical coordinate,tree height,crown width,and other geometric information reaches the decimeter level,and the coverage area accuracy reaches the meter level,which fully demonstrates the effectiveness of this method and greatly improves the efficiency of street tree survey.
关键词
行道树普查/车载激光点云/几何信息提取/点云分割Key words
street tree survey/vehicle-mounted laser point cloud/geometric information extraction/point cloud segmentation引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据