摘要
以电力系统中输电导线的巡视和维护问题为研究背景,基于UAV LiDAR获取的3D点云数据,提出了一种结合聚类分割思想实现自动提取输电线的方法,并进行了点云空间拟合建模研究。试验结果表明,该方法能较完整地提取电力线点云,拟合出的模型能较准确地预测电力线的空间分布。
Taking the inspection and maintenance of transmission lines in the power system as the research background,based on the 3 Dpoint cloud data obtained by UAV LiDAR,a method of automatic extraction of transmission lines combined with clustering and segmentation ideas was proposed,and the point cloud was carried out Research on spatial fitting modeling.The experimental results showed that the method cuold extract the power line point cloud more completely,and the fitted model could predict the spatial distribution of the power line more accurately.
作者
盛从兵
黄桥林
SHENG Congbing;HUANG Qiaolin(State Grid Henan Electric Power Company,Puyang 457000,China)
出处
《电工技术》
2020年第17期60-61,64,共3页
Electric Engineering
关键词
点云
聚类分割
电力线提取
模型拟合
point cloud
clustering segmentation
power line extraction
model fitting
