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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

Active Publication Date: 2018-11-06
HUBEI UNIV
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Problems solved by technology

[0006] The present invention mainly solves the technical problems in the prior art that the power line detection cost is expensive, takes a long time, the accuracy of the result is not high, and it is difficult to meet the actual production demand, and provides a power line point cloud segmentation method based on random field and random forest and system

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  • Power line point cloud segmentation method and system based on random field and random forest
  • Power line point cloud segmentation method and system based on random field and random forest
  • Power line point cloud segmentation method and system based on random field and random forest

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Embodiment

[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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Abstract

The invention relates to a power line point cloud segmentation method and system, belongs to the electric power equipment exploration maintenance field and particularly relates to a power line point cloud segmentation method and system based on the random field and the random forest. According to the method, power line point cloud segmentation of the Markov random field and the random forest is integrated, through point cloud voxelization in combination with the Markov random field (MRF), linear segmentation is carried out, based on tower detection and identification, power line segmentation segments are extracted, so power line point cloud is extracted, automatic complete extraction of the power line is realized, and the high automation degree and relatively high extraction precision arerealized. The method is advantaged in that for the large-scale power line three-dimensional complex scene, a fast, accurate and fully-automated power line detection scheme is proposed, the method hasgeneral applicability to different power line channel scenes, and the method is of great significance for automatic extraction and reconstruction of the power line.

Description

technical field [0001] The invention relates to a power line point cloud segmentation method and system, belonging to the field of electric equipment survey and maintenance, in particular to a power line point cloud segmentation method and system based on random fields and random forests. Background technique [0002] Airborne LiDAR (Airborne Light Detection And Ranging, LiDAR) is an active aerial remote sensing earth observation system. It is an emerging technology first developed by Western countries and put into commercial application in the early 1990s. It integrates laser Ranging technology, global positioning system (GPS), inertial measurement technology and computer technology in one. This technology has produced a major breakthrough in the real-time acquisition of three-dimensional spatial information, and provides a new technical means for obtaining high-spatial-resolution geospatial information. [0003] Airborne lidar can quickly and directly obtain high-precisio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/143
CPCG06T2207/10028G06T7/143
Inventor 张良张帆张谦周佳雯
Owner HUBEI UNIV
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