利用改进的数学形态法进行车载激光点云地面滤波

卢秀山; 刘如飞; 田茂义; 刘冰

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

¹ 山东科技大学测绘科学与工程学院,山东青岛,266590

基金项目: 国家科技支撑计划资助项目 (2011BAK07B01)；现代城市测绘国家测绘地理信息局重点实验室开放课题资助项目(20111204W)；山东科技大学研究生创新基金资助项目(YC130103)

详细信息

作者简介:
卢秀山,博士,教授,博士生导师。现主要从事测量数据处理理论及应用、GPS应用技术的研究和教学。

中图分类号: P237.4
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出版历程
- 收稿日期: 2013-04-07
- 修回日期: 2014-05-04
- 发布日期: 2014-05-04

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

¹Geomatics College,Shandong University of Science and Technology,Qingdao 266590,China

Funds: The National Key Technology Research and Development Program of the Ministry of Science and Technology of Chi-na,No.2011BAK07B01;the Open Research Fund Program of Key Laboratory for Urban Geomatics of National Administration of Sur-veying,Mapping and Geoinformation,No.20111204W;Graduate Innovation Fund Project of Shandong University of Science and Tech-nology,No.YC130103.

More Information

Author Bio:
LU Xiushan,PhD,professor,his researches are focused on surveying data processing,GPS application and 3Sintegration.

摘要

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。
- 车载激光 /
- 地面滤波 /
- 数学形态法 /
- 坡度滤波
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.
- vehicle-borne laser /
- ground filtering /
- mathematical morphology /
- slope filtering