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Method, Apparatus, and Device for Classifying LiDAR Point Cloud Data, and Storage Medium

机译:用于对LIDAR点云数据和存储介质进行分类的方法,装置和设备

摘要

A method, an apparatus, and a device for classifying LiDAR point cloud data, and a storage medium. The method includes: acquiring sample point cloud data and LiDAR point cloud data to be classified; building a point cloud classifier according to the sample point cloud data; classifying the LiDAR point cloud data to be classified by the point cloud classifier. In the present disclosure, the point cloud classifier is trained from the sample point cloud data, and the automatic classification is performed by the point cloud classifier for the LiDAR point cloud data to be classified. The sample point cloud data used for training the point cloud classifier includes various tower data and electric power line data. Moreover, after the classification result is obtained from the automatic classification, the speckling merging optimization is further performed, and the optimization is performed according to the tower position file and the preset optimization rule.
机译:一种用于对LIDAR点云数据和存储介质进行分类的方法,装置和设备。该方法包括:获取采样点云数据和LIDAR点云数据进行分类;根据采样点云数据构建点云分类器;将LIDAR点云数据分类为分类为点云分类器。在本公开中,点云分类器从采样点云数据训练,并且通过待分类的LIDAR点云数据的点云分类器来执行自动分类。用于训练点云分类器的采样点云数据包括各种塔数据和电力线数据。此外,在从自动分类获得分类结果之后,进一步执行分类合并优化,并且根据塔位置文件和预设优化规则执行优化。

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