Laser radar point cloud power line classification method based on normal distribution and clustering

Abstract

The invention discloses a laser radar point cloud power line classification method based on normal distribution and clustering, and the method comprises the following steps: (1) carrying out the preprocessing of original point cloud data, building a digital terrain model, and carrying out the rough extraction of power line candidate points through employing elevation filtering; (2) for the roughlyextracted power line candidate point data, further optimizing and extracting power line candidate points in a three-dimensional space based on a normal distribution transformation algorithm; and (3)for the optimized and extracted power line candidate point data, realizing accurate extraction of the power line points by using a mean value clustering algorithm. According to the invention, power line classification can be realized in laser radar point cloud data in various complex environments such as an urban forest area and the like, an accurate power line extraction result is provided, the point cloud data classification efficiency is greatly improved, a new idea is provided for classification of various point cloud data, and accurate and comprehensive analysis data is provided for worksuch as power line inspection and the like.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for classifying laser radar point cloud power lines based on normal distribution and clustering. Background technique [0002] As a novel and efficient means of space detection, lidar technology can quickly acquire a large amount of point cloud data with precise three-dimensional spatial coordinates of the target scene in a short period of time. However, compared with the progress made in the hardware performance and indicators of the lidar system, The software processing of lidar point cloud data is still in its infancy. Faced with the massive point cloud data acquired by the lidar hardware system, how to effectively use it is a major problem in the field of lidar point cloud data processing. . At the same time, with the rapid development of the economy in various fields in our country, the demand for electricity in all walks of life is growing very rapidly. I...

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Problems solved by technology

[0002] As a novel and efficient means of space detection, lidar technology can quickly acquire a large amount of point cloud data with precise three-dimensional spatial coordinates of the target scene in a short period of time. However, compared with the progress made in the hardware performance and indicators of the lidar system, The software processing of lidar point cloud data is still in its infancy. Faced with the massive point cloud data acquired by the lidar hardware system, how to effectively use it is a major problem in the field of lidar point cloud data processing.

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