摘要
道路场景中行道树数量和类型繁多,如何高效获取行道树信息并将其应用于行道树的管理与维护是当前研究的热点问题。该文提出了基于车载LiDAR点云数据的行道树信息自动提取与动态分析方法,根据行道树在车载LiDAR点云中的表达特征,构建行道树信息提取模型,融合几何与语义信息,分离提取每株行道树点云,进而提取行道树的位置、高度、胸径、冠幅和树冠体积等要素信息。采用动态分析方法,对实验区不同期行道树信息进行对比分析,判断行道树的损毁、重植、移位及生长状况,验证了算法的有效性。该算法对于行道树的精细化管理有较强的应用价值。
There are large quantities and many kinds of street trees in the road scene.How to obtain the information efficiently and apply it to the management and maintenance of street trees is a hot topic.In this paper,a method of automatic extraction and dynamic analysis of street tree information based on vehicle-borne LiDAR point cloud data is proposed.According to the expression characteristics of street trees in vehicle-borne LiDAR point cloud,the information extraction model of street trees is constructed.Combining the geometric and semantic information,the point cloud of each tree is extracted separately,and then the information of the location,height,crown,diameter at breast height(DBH)and volume of the tree is extracted.Using this dynamic analysis method,we analyzed and compared the information of street trees in different time periods of the same chosen area,and determined the damage,replanting,displacement and growth of street trees.The experiment proved the effectiveness of the algorithm.This algorithm has shown superior potential for application in the fine management of street trees.
作者
董亚涵
李永强
孙渡
李鹏鹏
范辉龙
DONG Ya-han;LI Yong-qiang;SUN Du;LI Peng-peng;FAN Hui-long(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454003,China)
出处
《地理与地理信息科学》
CSCD
北大核心
2018年第4期46-51,82,共7页
Geography and Geo-Information Science
基金
国家自然科学基金项目(41771491)
河南省基础与前沿技术研究项目(162300410184)
测绘地理信息公益性行业科研专项经费项目(201412020)
关键词
车载LiDAR
点云
动态分析
行道树
信息提取
vehicle-borne LiDAR
point cloud
dynamic analysis
street tree
information extraction
