摘要
以现有的利用ArcGIS进行点云手动分类的方法为标准,以利用TerraScan进行半自动分类的方法为研究分析对象,通过选取6组不同区域类型数据对比分析电力线点分类结果,得出TerraScan电力线分类精度为98.4%,并在此基础上分析了TerraScan进行点云分类的区域实用性和参数敏感性,为激光雷达点云数据中电力线自动快速分类提供支撑。
This paper takes the existing manual classification method of point cloud using ArcGIS as the standard,and the semi-automatic classification method using TerraScan as the research object.By comparing and analyzing the results of power line point classification by selecting six groups of data of different regional types,the accuracy of TerraScan power line classification is 98.4%.On this basis,the regional practicability of TerraScan for point cloud classification is analyzed.The sensitivity of parameters provides support for automatic and fast classification of power lines in point cloud data of lidar.
作者
周庆华
王艳军
李凯
ZHOU Qinghua;WANG Yanjun;LI Kai(Surveying and Mapping Achievement Archives of Hubei Province(Hubei Geographic Information Data Exchange Center),Wuhan 430071,China;National-local Joint Engineering Laboratory of Geo-Spatial Information Technology,Hunan University of Science and Technology,Xiangtan 411201,China)
出处
《测绘与空间地理信息》
2020年第5期16-18,共3页
Geomatics & Spatial Information Technology
基金
数字制图与国土信息应用工程国家测绘地理信息局重点实验室开放研究基金资助项目(GCWD201806)
湖南省自然科学青年基金项目(2018JJ3155)资助。
关键词
激光雷达
点云分类
电力线
对比分析
LiDAR
point cloud classification
power line
comparative analysis
