期刊文献+

利用车载激光点云的分车带识别及单木分割方法 被引量:5

Single tree segmentation method of urban distributing belt based on vehicle-borne laser point cloud data
下载PDF
导出
摘要 提出了一种基于车载激光点云数据的城区分车带识别及单木点云分割方法,首先通过布料模拟算法进行点云滤波去除地面点,然后利用基于八叉树连通性分析对非地面点进行聚类并构建聚类单元的最小包围矩形,基于先验知识和高差约束进行分车带识别,最后根据单木的空间几何特征,引入基于局部最高点的区域生长算法实现分车带内点云单木分割。选取北京市某道路的车载激光点云数据进行实验,结果表明:该方法能够从车载激光点云中快速识别出分车带点云并完成单木分割,能达到较好的识别和分割效果,具有抗噪性强和提取精度高的特点。 In this paper,a method based on the vehicle-borne laser point cloud is proposed for the identification of urban distributing belts and the segmentation of single tree inside distributing belts.Firstly,the point cloud is filtered by cloth simulation algorithm to remove the ground points,then the non-ground points are clustered by octree connectivity analysis,and the distributing belts are identified by using the minimum bounding rectangle and height difference constraints.Then,according to the spatial geometric characteristics of single tree,the region growing algorithm of the highest point is used to segment the point cloud in the distributing belt.The vehicle-borne laser point cloud data of a road in Beijing is selected for experiments.Results show that the proposed method can quickly identify the distributing belt point cloud from the vehicle laser point cloud and complete the single tree segmentation,which can achieve better recognition effect,with the characteristics of strong noise resistance and high extraction accuracy.
作者 王果 王成 张振鑫 刘绍堂 赵光兴 WANG Guo;WANG Cheng;ZHANG Zhen-xin;LIU Shao-tang;ZHAO Guang-xing(Institute of Civil Engineering,Henan University of Engineering,Zhengzhou 451191,China;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China;College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China)
出处 《激光与红外》 CAS CSCD 北大核心 2020年第11期1333-1337,共5页 Laser & Infrared
基金 国家自然科学基金项目(No.41671434,No.41701533) 河南省重点研发与推广专项项目(No.182102310001,No.192102310001) 河南省高等学校重点科研项目(No.18B170003) 河南工程学院博士基金项目(No.D2015040)资助。
关键词 车载激光 城市区域 分车带 单木分割 vehicle-borne LiDAR urban area distributing belt single tree segmentation
  • 相关文献

参考文献5

二级参考文献71

共引文献102

同被引文献37

引证文献5

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部