卢秀山, 刘如飞, 田茂义, 刘冰. 利用改进的数学形态法进行车载激光点云地面滤波[J]. 武汉大学学报 ( 信息科学版), 2014, 39(5): 514-519. DOI: 10.13203/j.whugis20130020
引用本文: 卢秀山, 刘如飞, 田茂义, 刘冰. 利用改进的数学形态法进行车载激光点云地面滤波[J]. 武汉大学学报 ( 信息科学版), 2014, 39(5): 514-519. DOI: 10.13203/j.whugis20130020
LU Xiushan, LIU Rufei, TIAN Maoyi, LIU Bing. Ground Filtering of Vehicle-Borne Laser Point Cloud Based onAdaptive Mathematical Morphology[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 514-519. DOI: 10.13203/j.whugis20130020
Citation: LU Xiushan, LIU Rufei, TIAN Maoyi, LIU Bing. Ground Filtering of Vehicle-Borne Laser Point Cloud Based onAdaptive Mathematical Morphology[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 514-519. DOI: 10.13203/j.whugis20130020

利用改进的数学形态法进行车载激光点云地面滤波

Ground Filtering of Vehicle-Borne Laser Point Cloud Based onAdaptive Mathematical Morphology

  • 摘要: 目的 通过分析车载激光点云的特征,提出了一种基于改进的数学形态法的地面滤波方法。该算法运用三维虚拟格网组织数据,在形态法迭代过程中采用环形结构元优化滤波窗口,利用局部区域自适应坡度阈值对形态法开运算进行控制。在获得初始低点后,基于邻域坡度滤波提取地面点。利用两个不同区域的点云数据进行了实验,以验证改进算法的有效性。

     

    Abstract: Objective On the basis of the analysis of vehicle-borne laser point cloud features,aground filteringmethod based on the adaptive mathematical morphology is proposed.A three-dimensional virtual gridis used to organize data.In the morphological iterative process,the filtering window is optimized byannular structure and the morphological opening operation is controlled by a local adaptive slopethreshold.After having obtained the initial low point,the ground point cloud data is extracted basedon neighborhood slope.Finally,experiments are processed using two different regions in the pointcloud data validiting the algorithm.

     

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