Tree Obstacle Recognition in Transmission Line Corridors Based on Multispectral Laser Point Cloud
Using multispectral laser point cloud technology to identify tree obstacles in transmission line corridors,improving the accuracy and efficiency of tree obstacle identification,and ensuring the safe and stable operation of power lines. Selected a 10 km transmission line corridor in a mountainous area of Zhejiang Province as the research object,collected data through multispectral LiDAR and high-performance unmanned aerial vehicle platform,and used machine learning based tree obstacle recognition algorithm to process and analyze the data. The results showed that the overall recognition accuracy of the system reached 93％,with a false alarm rate of 4％ and a false alarm rate of 3％. The entire data processing process takes about 10 hours,and user satisfaction reaches over 90％. Compared with traditional manual inspection methods,this system significantly reduces costs and improves the operational efficiency and safety of transmission lines.
multispectral laser point cloudtransmission line corridortree obstacle recognitionUAVmachine learning
万方数据
维普
