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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 enhancement, instruments, etc., can solve problems such as time-consuming, low accuracy of results, and high cost of power line detection, and achieve universal applicability, high extraction accuracy, and high automation degree of effect

Active Publication Date: 2021-07-16
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, 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. The present invention integrates Markov random field and random forest for power line point cloud segmentation, by voxelizing the point cloud and combining Markov random field (MRF) for linear segmentation, and then extracting the power line segmentation segment on the basis of tower detection and recognition , so as to extract the power line point cloud, and realize the automatic and complete extraction of the power line, which has a high degree of automation and high extraction accuracy. The present invention proposes a fast, accurate and fully automatic power line detection scheme for three-dimensional complex scenes of large power lines, which has universal applicability to different power line channel scenes and is of great significance to the automatic extraction and reconstruction of power lines.

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 Patents(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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