首先介绍了传统形态学算法,并分析了其应用方面的不足;然后提出了一种基于改进坡度参数的自适应形态学滤波方法 ;最后利用实际点云数据进行了实验。该方法通过划分格网自动计算当前区域坡度的平均值,从而得到适当的坡度参数用于后续高度阈值的计算。实验结果表明,该方法能更有效地识别地面点和地物点,对被建筑物包围的植被点滤除效果明显。

In this paper, we introduced the characteristics of traditional morphology algorithm and analyzed the shortages of this theory application at first. And then, we proposed a mathematical morphological filtering algorithm based on the improved slope parameter. Finally, we used actual Li DAR point cloud data to do some experiments. Firstly, in this algorithm the grids were divided and an average approximate slope of the whole data sets was automatically calculated. Then, the average slope parameter was used for the next estimation of height difference threshold. The results of tests show that this method can remove most non-ground points effectively and reserve the detail information of the ground.