Power line point cloud segmentation method and system based on random field and random forest
A random forest and power line technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as difficulty in meeting actual production needs, expensive power line detection, and long time consumption
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[0079] like figure 1 As shown, a power line point cloud segmentation method that combines Markov random field and random forest includes the following steps:
[0080] Step 1, configure and install the airborne lidar and POS system on the flight platform, collect airborne lidar data and generate point clouds for field flight operations;
[0081] Step 2, voxelize the massive 3D point cloud data generated in step 1 based on the octree partition structure;
[0082] Step 3, segment the linear voxels based on the Markov random field (MRF), and extract the candidate linear segments of the power lines;
[0083] Step 4, convert the extracted power line candidate linear segment into a binary image, and then use a random forest (RF) classifier on the 2D image to identify the tower segment;
[0084] Step 5, use the context attribute design evaluation criteria of the linear segment to eliminate the non-tower segment;
[0085] Step 6: Set a cylindrical search box, mark the linear segment...
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