首页> 外文会议>International Conference on Geoinformatics;Geoinformatics 2012 >A curvature-based statistical method for generating DTM from LiDAR Point Cloud
【24h】

A curvature-based statistical method for generating DTM from LiDAR Point Cloud

机译:从LiDAR点云生成DTM的基于曲率的统计方法

获取原文

摘要

The result of Skewness Balancing based on elevation(SBE) contains non-ground points, which involve low vegetation, vehicle, and side of buildings. According to this problem, this paper proposes an algorithm to improve the precision of automatic filter and reduce the commission error. The algorithm is Curvature-based Statistical Method (CSM), which is based on the Skewness Balancing, and introduces curvature into Skewness Balancing. Compared with the result of Skewness Balancing based on elevation, the experiment demonstrates that the algorithm performs better.
机译:基于海拔高度(SBE)的偏度平衡的结果包含非地面点,涉及低植被,车辆和建筑物的侧面。针对这一问题,本文提出了一种提高自动滤波精度,减少调试误差的算法。该算法是基于曲率平衡的基于曲率的统计方法(CSM),并将曲率引入到“曲率平衡”中。与基于仰角的偏度平衡的结果相比,实验表明该算法性能更好。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号