Research on airborne laser point cloud thinning algorithm with terrain features

This study proposes a novel thinning algorithm to effectively preserve terrain features in response to the problem of increased processing burden caused by high density of airborne laser point cloud data. This study is based on constructing a spatial triangulation using a regular triangulation network, with the maximum distance point between the laser point cloud and the spatial triangulation within the projection range of the triangulation as the terrain feature points to be retained. This algorithm achieves a significant reduction in data volume while ensuring the main terrain features of point cloud data, achieving good results in balancing the efficiency and accuracy of the algorithm.