A method for extracting point clouds of airborne lidar for high-voltage transmission lines

A technology for high-voltage transmission lines and extraction methods, applied in radio wave measurement systems, instruments, etc., can solve the problems of power line extraction accuracy to be improved, algorithm reliability and generality is insufficient, etc., to improve algorithm efficiency, high accuracy, and improved The effect of segmentation accuracy

Active Publication Date: 2021-12-31
TONGJI UNIV
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AI Technical Summary

Problems solved by technology

The existing power line extraction methods are still insufficient in the reliability and versatility of the algorithm, and the accuracy of power line extraction still needs to be improved

Method used

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  • A method for extracting point clouds of airborne lidar for high-voltage transmission lines
  • A method for extracting point clouds of airborne lidar for high-voltage transmission lines
  • A method for extracting point clouds of airborne lidar for high-voltage transmission lines

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Embodiment

[0042] Such as figure 1 Shown, a kind of high-voltage transmission line airborne LiDAR point cloud extraction method, this method comprises the following steps:

[0043] (1) Use the elevation threshold segmentation algorithm based on subspace features to eliminate the ground object point cloud in the original overhead line point cloud data, and obtain the non-ground object point cloud;

[0044] (2) Use the elevation density segmentation algorithm to eliminate the tower points and the top points of trees or high slopes in the point cloud of non-ground objects to obtain the power line point cloud. In the following statement, the tower points and the top points of trees or high slopes are referred to as the tower point cloud.

[0045] 1. Object point cloud recognition and segmentation:

[0046]The traditional elevation threshold segmentation algorithm has the problem of object point and power line misidentification in the segmentation of ground object points in areas with large ...

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Abstract

The invention relates to a method for extracting a point cloud of a high-voltage transmission line airborne LiDAR. The method comprises the following steps: (1) using an elevation threshold segmentation algorithm based on a subspace feature to remove the feature point cloud in the original overhead line point cloud data to obtain Non-ground object point cloud; (2) Use the elevation density segmentation algorithm to eliminate the tower points and trees or high slope top points in the non-ground object point cloud to obtain the power line point cloud. Compared with the prior art, the invention has a high accuracy rate of extraction and better algorithm efficiency, and effectively solves the problem of incomplete extraction of power lines in areas with large surface fluctuations by traditional methods.

Description

technical field [0001] The invention belongs to the application field of power transmission line airborne laser radar, and in particular relates to a high-voltage power transmission line airborne LiDAR point cloud extraction method. Background technique [0002] With the rapid development of the economy, in order to meet the growing demand for electricity, the number and mileage of ultra-high voltage and large-capacity transmission lines have increased sharply, and the geographical environment crossed by line corridors has become increasingly complex, which has brought many difficulties to line operation and maintenance. As a new generation of remote sensing technology, LiDAR (Light Detection And Ranging) laser radar technology uses laser pulses as the measurement medium and highly integrates advanced equipment such as GPS, INS and laser scanning rangefinders to quickly obtain high-precision three-dimensional coordinates of targets. The advantage of good penetration of laser...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/48
CPCG01S7/4802
Inventor 沈小军秦川
Owner TONGJI UNIV
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