Method of Power Line Automatic Extraction and Reconstruction from Airborne LiDAR Point Cloud
A method of power line automatic extraction and reconstruction was proposed based on airborne LiDAR point cloud in power line corridor. Firstly,regular grid DEM is constructed and the relative elevation can be used to obtain the far ground points. The spa-tial distribution characteristics of point cloud are used to roughly extract the power line point cloud,and the region-growing segmenta-tion algorithm based on local height difference is used for refined extraction;secondly,least-squares method is used to fit a straight line for each segment unit in xoy plane,density-based clustering algorithm is used to automatically segment power line points by ana-lyzing the first derivatives change trend of the line corresponding to elevation data;finally,the position of suspension point is detected by fitting the adjacent power line and calculating their intersecting point,and the vectorized model of each power line is reconstructed by polynomial model. The experimental results show that the method can automatically detect the position of suspension point,and has high accuracy of extraction and low fitting error. It has certain reference value.
power line extractionregion-growingsuspension point detectionpower line segmentationvectorization reconstruction
万方数据
维普
