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针对现有基于坡度滤波的改进方法难以同时提升滤波速度与精度的问题,文章提出了一种基于纵横断面的机载LiDAR点云数据滤波方法。该方法视测区为多个断面构成,以行(列)为滤波基本单位,兼顾高程突变的方向信息,分别从纵横断面以基于坡度的判据进行滤波处理,可同时提高计算速度与结果精度。实验结果表明,该算法计算速度快,并且对于不同特征的地形都能取得较好的滤波效果。
Aiming at the problem that the existing methods based on gradient filtering are difficult to improve the filtering speed and accuracy at the same time, this paper presents an on-board LiDAR point cloud data filtering method based on longitudinal and cross sections. The method consists of a plurality of sections in the visual area, the line (column) as the basic unit of filtering, taking into account the direction information of the elevation of the elevation, and filtering based on the slope criterion from the longitudinal section and the cross section respectively, which can simultaneously improve the calculation speed and the result precision . Experimental results show that the algorithm is fast in calculation speed and can obtain better filtering effect for different features of the terrain.