刘凤莲,曹永兴,高润明,郭裕钧,刘凯.基于无人机载LiDAR的输电线路树障单木识别[J].电测与仪表,2023,60(9):7-13. LIU Fenglian,CAO Yongxing,GAO Runming,GUO Yujun,LIU Kai.Recognition of Tree Barriers on Transmission Lines Based on LIDAR[J].Electrical Measurement & Instrumentation,2023,60(9):7-13.
基于无人机载LiDAR的输电线路树障单木识别
Recognition of Tree Barriers on Transmission Lines Based on LIDAR
Tree barriers are one of the main safety threats faced by high-voltage transmission lines operating in dense mountainous areas with dense vegetation. Different tree species have different growth cycles and different risks of tree barriers within a certain period of time. In order to accurately identify the types of trees in the forest area on a large scale, this paper proposes a rapid identification method for tree types based on airborne radar measurement technology. First, use airborne radar to quickly obtain point cloud data on the ground of the transmission line area, and preprocess the data to obtain the canopy point cloud of a single tree; then establish the canopy spatial attribute point cloud feature quantities, including canopy height, canopy volume, Canopy point cloud density, canopy laser reflection intensity, and canopy topography features; finally, a tree-type K-means clustering recognition model is established based on the tree"s spatial point cloud characteristics. The results show that for the trees growing in this area, the five spatial point cloud features have a good recognition effect. The final establishment of the K-means clustering recognition model for trees has an accuracy rate of 89% and a kappa of 0.812 for the verification data. Rapid identification is of great significance to the risk assessment and early warning of tree barriers.
