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A Robust Filtering Algorithm of LiDAR Data for DTM Extraction

机译:一种强大的DTM提取LIDAR数据的鲁棒滤波算法

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摘要

For DTM extraction of road linear project from LiDAR data, this paper proposes a robust ground filtering algorithm. Firstly, a pyramidal hierarchical structure of ground candidate points is formed. Secondly, in each level, the Thin Plate Spline (TPS) surface interpolation is iteratively used to produces smooth surfaces, and based on the point's residuals from the surface the ground candidate points are inspected. The experiments show that this method correctly determines DTM even in those cases of heavy vegetation, and achieve a better result for the road.
机译:对于LIDAR数据的DTM提取道路线性项目,本文提出了一种强大的地面滤波算法。首先,形成地面候选点的金字塔型层次结构。其次,在每个级别中,薄板样条(TPS)表面插值迭代地用于产生光滑表面,并且基于从表面检查地面候选点的点的剩余物。实验表明,即使在那些重型植被的情况下,这种方法也可以确定DTM,并为道路提供更好的结果。

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