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Filtering of Lidar Point Clouds Based on Segmentation

机译:基于分割的激光雷达点云滤波

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摘要

The filtering algorithm based on image segmentation can be more consideration point cloud of context. It has better robustness. The filtering of edge detection-region growing works on raw Lidar point clouds without previous grid. It can detect the edge depending on spatial topologic relations between points, and obtain the bare ground through the method of region growing according to certain standards. Experiment results of different region show that the algorithm which does not suffer point cloud density, size and shape of buildings, distribution of vegetation has high stability and precision.
机译:基于图像分割的滤波算法可以更多地考虑上下文的​​点云。它具有更好的鲁棒性。边缘检测区域增长的滤波在没有先前网格的原始激光雷达点云上进行。它可以根据点之间的空间拓扑关系检测边缘,并通过按照一定标准的区域生长方法获得裸露的地面。不同区域的实验结果表明,该算法不受点云密度,建筑物大小和形状,植被分布的影响,具有较高的稳定性和精度。

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