Open AccessResearch on High Voltage Power Line extraction based on Transmission Line Point Cloud characteristics and Model fitting
Author(s) -
Yuan Yang,
Heng Yang,
Zhixia Zhou,
Yang Liugui
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/446/4/042011
Subject(s) - ransac , electric power transmission , point cloud , line (geometry) , hough transform , transmission line , power (physics) , computer science , voltage , algorithm , engineering , computer vision , electrical engineering , mathematics , geometry , telecommunications , physics , quantum mechanics , image (mathematics)
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%.