Research on High Voltage Power Line extraction based on Transmission Line Point Cloud characteristics and Model fitting

被引:4
|
作者
Yang, Yuan [1 ]
Yang, Heng [1 ]
Zhou, ZhenFeng [1 ]
Yang, LiuGui [1 ]
机构
[1] Guizhou Power Grid Co LTD, Transmiss Operat & Maintenance Branch, Guiyang 550000, Guizhou, Peoples R China
来源
2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING (ICAESEE 2019) | 2020年 / 446卷
关键词
D O I
10.1088/1755-1315/446/4/042011
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
High-voltage power line digitization is one of the key contents of intelligent inspection of transmission line. Airborne LiDAR has obvious advantages in three-dimensional digital reconstruction of high-voltage power line. In this paper, a power line extraction algorithm for transmission line corridor based on LiDAR point cloud data is proposed. According to the distribution characteristics of point clouds in transmission line corridors, rough extraction of power lines is carried out. Noise points are eliminated by improved Hough and RANSAC parabola fitting method. Then the power lines are segmented horizontally and vertically. According to the vertical parabola model of a single power line and the straight line model of water surface, the complete power lines are extracted by model growth algorithm. Line point. The experimental results show that the accuracy of the proposed algorithm is 99.6%.
引用
收藏
页数:8
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