Method for automatically extracting point clouds of electric tower from airborne LiDAR data
A technology of automatic extraction and electric tower, applied in the direction of computer parts, instruments, characters and pattern recognition, etc., can solve problems such as manual inspection and maintenance difficulties
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[0009] The general idea of the patent of the present invention is: according to the spatial geometric characteristics and point cloud distribution characteristics of the tower and surrounding terrain and features, based on the plane grid neighborhood clustering, Kd-tree clustering, spatial grid area growth, and RANSAC linear fitting and the model growth method. The automatic extraction of tower point clouds is mainly divided into four steps: rough extraction of tower point clouds based on plane grid neighborhood clustering, point cloud data preprocessing based on Kd-tree clustering and spatial grid growth, and tower based Geometric features and RANSAC algorithm point cloud extraction of tower backbone area and fine extraction of tower point cloud data based on model growth. figure 1 It is the general flowchart of tower point cloud extraction, figure 2 It is a detailed flow chart of tower point cloud extraction, image 3 Example extraction process for different types of to...
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