车载激光扫描数据分类支持下的路面数据提取  

Road Surface Data Extraction Based on Mobile Laser Scanning Data Classification

作　　者：吴学群 宁津生[1] 杨芳[3] 

机构地区：[1]武汉大学测绘学院,湖北武汉430079 [2]昆明理工大学国土资源工程学院,云南昆明650093 [3]昆明市测绘研究院,云南昆明650051

出　　处：《测绘通报》2018年第2期107-110,135,共5页Bulletin of Surveying and Mapping

基　　金：国家自然科学基金(41561082)

摘　　要：车载激光扫描系统可以快速采集道路及两旁的建筑物、植被、电杆等地物的点云数据,而点云数据的分类提取是车载激光扫描系统应用的关键。本文选用全景激光移动测量系统获取的激光点云数据,分析了路面点云数据的特征,采用渐进格网法进行了路面点云数据的提取研究;通过试验区的实例验证,取得了较好的分类效果。Mobile laser scanning system has become a cost-effective solution for obtaining point clouds of the road surface,building,vegetation,pole,etc.The automatic extraction technique of point clouds is the key to applications of mobile laser scanning system. This paper studies characteristics of road surface point clouds,a progressive mesh method is then adopted to extract road surface point clouds.Experiments show that the proposed method has a desirable solution for road surface data extracting from mobile laser scanning point clouds.

关 键 词：车载激光扫描 点云 路面数据提取 渐进格网 

分 类 号：P237[天文地球—摄影测量与遥感]