基于TIN渐次加密的LiDAR点云数据滤波

摘要

The traditional filtering algorithm usually aimed at a continuous surface and simple area to carry out , it always with some limitations.It does not solve the problem of accurately extracting the complex urban terrain .This paper presents an improved LiDAR point cloud data filtering method which is based on gradual encryption of TIN .In this paper , firstly, the method of multi -scale virtual grid is used to screen ground seed point from the original point cloud , and then use the seed point to build the initial TIN surface , on this basis, for up encryption , the last TIN terrain was the true surfaces .The results of the experiment show that this method can effec-tively filter out buildings , vegetation and other surface features , topographic features are kept better .%传统的滤波算法通常是针对具有连续表面的简单区域来进行，因此带有一定的局限性，且不能解决复杂城区地形准确提取的难题。因此，本文提出了一种改进的基于TIN渐次加密的LiDAR点云数据滤波方法，该方法先对原始点云利用多尺度虚拟网格筛选地面种子点；然后，对种子点构建初始TIN表面，在此基础上进行向上加密；最后，得到的TIN三角网则为真实地形表面。实验结果表明，该方法能有效地滤除建筑物、植被和其他地物，并较好地保持地形特征。