Lidar 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, which includes the following steps: (1) preprocessing the original point cloud data, establishing a digital terrain model, and using elevation filtering to perform power line candidate points Rough extraction; (2) For the roughly extracted data of power line candidate points, based on the normal distribution transformation algorithm, the further optimized extraction of power line candidate points in three-dimensional space is realized; (3) For the optimally extracted power line candidate point data, the average Class algorithm realizes the precise extraction of power line points. The present invention can realize power line classification in laser radar point cloud data in various complex environments such as urban forest areas, and provide accurate power line extraction results, greatly improving the efficiency of point cloud data classification, and providing a variety of point cloud data classification. The new idea provides accurate and comprehensive analysis data for power line inspection and other work.

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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