Abstract:The power line inspection operating by the UAV has been carried out in the China Southern Power Grid recent years and has get a certain promotion application. The current inspection methods are mostly drone or manned aircraft mounted with lidar. In order to improve the efficiency and the accuracy of the line inspection, this paper proposes a method to integrating the LiDAR and image data among the data processing. Firstly, we collect the point cloud data and the image data in the inspection area, and complete the corresponding preprocessing. Then, we use these data to automatic analyze and extract interesting information for the transmission line. We select three actual flight data as test data to verify the above processing. The result show that this processing has a good performance in the automation and accuracy, correspondingly, the horizontal error is 0.1467 meters, the vertical error is 0.1025 meters, and the clearance error is 0.1575 meters, which is of great significance for the inspection of transmission lines.