复杂城市环境的机载Lidar点云滤波
Filtering of Lidar Point Clouds for Complex Cityscapes
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摘要: 提出了一种新的Lidar点云滤波算法。该算法能对复杂的城市地貌进行滤波,无需事先进行三角网格化或栅格化,依靠点间的拓扑关系直接对原始点云进行滤波。实验结果表明,该滤波方法能有效保留地形特征,且不受房屋形状和大小的影响。Abstract: A new filtering algorithm of Lidar point clouds is preseted, which can work well in complex cityscapes. Its main features are filtering based on raw Lidar point clouds without previous triangulation or rasterization, and only dependeds on 3D topological relations between points. Experiment results show that the algorithm can preserve discontinuous features in the bare earth and has no impact of size and shape of buildings.
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