基于CityMapper-2L的城市级复杂地形大比例尺测图机载LiDAR点云数据获取方法研究  

Research on airborne LiDAR points cloud data acquisition method for largescale mapping in complex terrain of the city level based on CityMapper-2L

作　　者：张杰 尹源 钟鸣 ZHANG Jie;YIN Yuan;ZHONG Ming(Shandong Provincial Institute of Land Surveying and Mapping,Jinan 250102,China;Geophysical Survey Team of Shandong Coal Geology Bureau,Jinan 250102,China)

机构地区：[1]山东省国土测绘院,山东济南250102 [2]山东省煤田地质局物探测量队,山东济南250102

出　　处：《经纬天地》2025年第1期44-48,58,共6页Survey World

基　　金：基础测绘-LiDAR数据获取及处理项目(1499002023CGK00451)。

摘　　要：针对城市级复杂地形大比例尺测图机载LiDAR点云数据获取困难的问题,提出采用徕卡公司的CityMapper-2L(CM-2L)航摄仪来获取的方案。以山西运城(二)测区约10000 km^(2)满足1∶500比例尺成图要求的点云数据获取项目(以下简称“运城(二)项目”)为例,通过大棕熊Kodiak-100飞机搭载CM-2L设备获取测区点云数据,经轨迹解算、点云数据预处理、匹配滤噪等步骤,输出得到测区点云数据。结果表明:CM-2L设备在点云数据获取和处理时集成度、自动化程度高,实施的运城(二)项目点云平均密度优于16 pts/m^(2);获取的点云数据各属性存储完整、表达正确;点云分布较均匀,项目的平均点间距为0.218 m;点云数据平面及高程中误差分别为±0.182 m、±0.084 m,其绝对精度及相对精度均符合规范要求。该方案对于城市级复杂地形大比例尺测图点云数据获取的效果较好,对于类似的项目同样具备一定的借鉴意义。Aiming at the difficulties in obtaining airborne LiDAR points cloud data for large-scale mapping in complex terrain of city level,a solution is proposed to use Laica's latest CityMapper-2L(CM-2L)aerial camera.Taking the points cloud data acquisition project of Shanxi Yuncheng(II)(hereinafter referred to as:Yuncheng(II)Project)that meets the requirements for mapping at a scale of 1∶500,which covers an area of approximately 10000 km^(2),as an example,the points cloud data in the measurement area was obtained by using the Big Brown Bear Kodiak-100 aircraft equipped with CM-2L equipment.After trajectory calculation,points cloud data preprocessing,matching and filtering,all points cloud data in the measurement area were output.The results show that the CM-2L device has a high degree of integration and automation in points cloud data acquisition and processing,and the average density of the points cloud data implemented in Yuncheng(II)project is better than 16 pts/m^(2),and all attributes of the obtained points cloud data are stored completely and expressed correctly.The points cloud distribution is uniform,and the average point spacing of the project is 0.218 m.The median errors of points cloud plane and elevation are±0.182 m and±0.084 m respectively,and the absolute,relative accuracy meets the requirements of the specification.This project has a good effect on points cloud data acquisition for large-scale mapping in complex terrain of city level,and also has certain reference significance for the similar projects.

关 键 词：CityMapper-2L 城市级 复杂地形 机载LIDAR 点云数据 

分 类 号：P237[天文地球—摄影测量与遥感]