摘要
作为城市道路场景中的重要基础设施,杆状物的自动提取为城市数据更新、智慧城市建设提供可靠的数据支撑。移动车载激光扫描系统是一种能够快速、高效获取道路空间高精度点云数据的测绘新技术,本文基于车载激光扫描点云数据,提出了一种道路杆状物自动提取方法。首先,为减少点云数据量,使用已有点云滤波算法对原始点云进行地面滤波,得到非地面点;其次,根据杆状物三维空间分布形态与平面圆弧投影形态实现杆状目标提取;最后,通过设置不同的区域生长条件进行完整杆目标的搜索。分别使用两段不同类型道路点云数据进行实验,结果表明本文方法提取杆状物结果的正确率、完整率均优于对比方法,具有较强的适应性与稳健性。
As an important infrastructure in the urban road scene,the automatic extraction of pole-shaped objects provides reliable data support for urban data updating and smart city construction.Mobile vehicle-borne laser scanning system is a new surveying and mapping technology that can quickly and efficiently obtain high-accuracy point cloud data in road space.Based on the vehicle-borne laser scanning point cloud data,this paper proposes an automatic extraction method of road pole-shaped objects.First,in order to reduce the amount of point cloud data,the existing point cloud filtering algorithm is used to filter the original point cloud on the ground to obtain non-surface points;secondly,the three-dimensional spatial distribution pattern and plane circular projection pattern of pole-shaped objects are used to extract the pole-shaped objects;finally,the complete pole target is searched by setting different region growth criteria.Two different types of road point cloud data are used for experiments,and the results show that the accuracy and completeness of the extraction results of this method are superior to those of the comparative methods with strong adaptability and robustness.
作者
徐琪伟
李鸿铭
闫喜丽
XU Qiwei;LI Hongming;YAN Xili(Zhejiang Dingce Geographic Information Technology Co.,Ltd.,Hangzhou 321100,China)
出处
《测绘与空间地理信息》
2025年第2期181-183,187,共4页
Geomatics & Spatial Information Technology
关键词
移动车载激光扫描
点云数据
地面滤波
杆状物
区域生长
mobile vehicle-borne laser scanning
point cloud data
ground filtering
pole-shaped objects
region growing
