基于两级格网的LiDAR数据组织与改进坡度滤波

Data organization and improvement of the LiDAR slope filter based on the two levels of grid

提出一种基于双层格网与改进坡度滤波方法。该方法实现对原始数据的两级格网化,在一级网格中选出地面种子点,在此基础上利用二级网格进行地面点选取,不仅提高了运算效率还可以剔除粗差。在改进坡度滤波算法中,对传统滤波算法进行改进,提出3个坡度阈值,有效克服传统坡度滤波算法在地形起伏较大的地方可能发生的错误。试验结果表明,该算法计算速度快、滤波效果好。通过对不同测区的数据进行实验,给出滤波前后的对比结果。

A method to improve slope fliter based on double-layer grid is presented. This method realizes on two original data grid technology, ground in a grid selected seed point, on this basis, the use of two ground grid point selection, which not only improves the operational efficiency, but also can remove gross errors. In the process of filtering algorithms to improve the slope, the traditional filtering algorithm pro- posed to improve, and put forward the three slope threshold, effectively overcome the traditional slope fil- tering algorithm where the undulating terrain of the possible errors. The test results show that the algo rithm is fast, and has good filtering effect. The paper shows the comparative results between before filte- ring with after filtering by experimenting datas from different areas.