基于坡度梯度的点云数据中坡坎探测方法研究

Research on Slope Detection of Point Cloud Data Based on Slope Gradients

以坡度梯度为分类函数,通过给定坡度梯度阈值,实现坡坎提取的方法。从地面点云中提取一组剖面上的点,构成剖面线(探测线或断面线),并按坐标对点云进行排序;在一个剖面线上,计算每个点的坡度梯度,并以此为测度,判别每个点所属的类,对坡面点和其他地形点进行编码,赋以不同颜色加以区别。实验表明,坡度梯度法探测坡坎有效可行。

This paper proposed a novel method which employed slope gradients as a classification function and extracted steep slopes by the given threshold. First,section lines are constructed by the points which are extracted from point cloud of bare ground and sorted by coordinates. Then,slope gradients for each point on the section lines are calculated and set as rulers to determine the category of each point. Finally,slope points and terrain points are coded and distinguished by attached colors. Experimental results show that the proposed method is effective and practical in determining steep slopes based on slope gradients.