An Automatic Power Line Extraction Method from Airborne Light Detection and Ranging Point Cloud in Complex Terrain

Abstract:

Accurate and efficient extraction of power line automatically is of great significance to improve the timeliness and effectiveness of power line inspection technology based on airborne light detection and ranging(LiDAR). As the traditional power line extraction methods are less effective under complex terrain, a new power line extraction method is put forward based on the analysis of the traditional methods of power line extraction under complex terrain and the characteristics of the point cloud data of transmission corridor, and its feasibility is verified by actual point cloud data. Firstly, the elevation threshold segmentation algorithm based on subspace feature is presented to realize the separation of terrestrial points. Then, the tower and power line are modified and extracted with the elevation density segmentation algorithm. The results show that the algorithm proposed in this paper can achieve accurate automatic extraction of power line with a high extraction accuracy and efficient in complex terrain, which can be used in engineering.