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Jun RUAN, Xiongjun TAO, Dongjia LIU, Chen ZHANG. Research and Application of Automatic Classification Technology of LiDAR Point Cloud Data of Multi Rotor UAV for Transmission Line[J]. SOUTHERN ENERGY CONSTRUCTION, 2019, 6(2): 89-93. DOI: 10.16516/j.gedi.issn2095-8676.2019.02.016
Citation: Jun RUAN, Xiongjun TAO, Dongjia LIU, Chen ZHANG. Research and Application of Automatic Classification Technology of LiDAR Point Cloud Data of Multi Rotor UAV for Transmission Line[J]. SOUTHERN ENERGY CONSTRUCTION, 2019, 6(2): 89-93. DOI: 10.16516/j.gedi.issn2095-8676.2019.02.016

Research and Application of Automatic Classification Technology of LiDAR Point Cloud Data of Multi Rotor UAV for Transmission Line

  •   Introduction  In order to improve the efficiency and quality of laser point cloud data processing and provide data guarantee for tree barrier detection for transmission lines.
      Method  A new automatic point cloud classification algorithm was proposed based on the self developed laser radar UAV, then a tree barrier analysis software was developed based on the algorithm to realize one-click automatic classification of point cloud.
      Result  The results show that the accuracy of point cloud classification can reach more than 95%, and the efficiency of point cloud automatic classification can reach 60 km/h, moreover, good classification results are achieved in the complex areas where the towers and power lines, towers and vegetation intersect each other.
      Conclusion  This method provides a high efficiency, high quality, automatic and intelligent data processing method for the analysis of tree barrier danger, and effectively improves the acquisition accuracy and processing efficiency of geospatial three-dimensional information data.
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