Power tower point cloud extraction method

Abstract

The invention discloses a power tower point cloud automatic extraction method based on principal component analysis transformation, and belongs to the technical field of electric power equipment detection. The power tower point cloud automatic extraction method based on principal component analysis transformation includes the steps: firstly, separating tower top and power transmission line point cloud data through space segmentation and point cloud data gray processing; establishing an R tree and a KD tree to carry out hybrid index preprocessing on the point cloud data, then carrying out PCA conversion on the preprocessed point cloud data, and respectively extracting initial tower top point cloud data and initial tower body point cloud data through tower top average elevation threshold setting and a ground fitting extraction method; according to the difference of spatial distribution characteristics of the tower footing point cloud and the vegetation point cloud, extracting the initialtower footing point cloud through a principal component threshold extraction method and a DBSCAN clustering algorithm; and finally, recovering point cloud data deleted by mistake in the clustering process through expansion operation, and completing extraction of the initial tower footing point cloud data. According to the power tower point cloud automatic extraction method based on principal component analysis transformation, full-automatic extraction of tower point cloud is realized, and the tower point cloud extraction efficiency is improved, and the burden of operators is reduced, and thedata extraction precision is greatly improved in combination with multiple point cloud data extraction methods and data recovery methods.

Description

Technical field: [0001] The invention relates to the technical field of electric equipment detection, in particular to an automatic extraction method of electric pole and tower point clouds based on principal component analysis transformation. Background technique: [0002] Airborne laser radar (LIDAR) combines laser technology with radar technology, has the characteristics of high ranging accuracy and excellent performance, and can quickly obtain high-precision, high-density three-dimensional coordinates of large-area ground objects, so it is widely used in power In the inspection of overhead lines, such as: detection of dangerous ground objects in line corridors, fine measurement of distance between power lines, etc. However, the data acquired by LiDAR are all discrete point cloud data, the data structure is irregular and there is no clear topological relationship between point cloud data, which leads to difficulties in the automatic interpretation and analysis of ground o...

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to solve the problems existing in the prior art, such as easy confusion between the point cloud of the tower base and the point cloud of vegetation, low accuracy, and low extraction efficiency. A point cloud extraction method for power poles and towers that meets the requirements

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