一种改进的机载LiDAR数据构建DEM地面种子点选取方法
An improved method of ground seed points selection for DEM construction based on airborne LiDAR data
周伟明 1田香勇 2王保国 1刘虎 1刘辉 2胡洪2
作者信息
- 1. 蚌埠市勘测设计研究院,安徽蚌埠 233000
- 2. 安徽大学资源与环境工程学院,安徽合肥 230601;安徽省矿山生态修复工程实验室,安徽合肥 230601
- 折叠
摘要
针对机载激光雷达(LiDAR)数据使用传统方法获取的地面种子点密度低,种子点之间空白区域的地形信息缺失,不利于后续提取地面点和构建高质量数字高程模型(DEM)的问题,本文提出了一种基于新的网格遍历规则的地面种子点选取方法.与传统方法中的起始网格在X和Y方向上每次移动1个规则网格宽度不同,该方法每次移动1/2个网格宽度,增加规则网格数量,获取的地面种子点个数相较于传统方法提高约200％,可补充种子点之间空白区域的地形信息,有利于提高后续点云数据处理的精度和相关产品的可靠性.
Abstract
A method of ground seed points selection based on new grid traversal rules is proposed in this paper to solve such problems as not helpful for ground point extraction and high-quality DEM construction occurred by airborne LiDAR data from traditional methods,like low density of ground seed points obtained,and lack of topographic information in the blank area between the seed points.Compared with traditional method in which the starting grid moves 1 regular grid width each time in the X and Y directions,the method proposed in this paper moves 1/2 regular grid width each time,so the number of ground seed points obtained are about 200％higher than those by traditional method.It can be used to add topographic information in the blank area between the seed points,and improve the accuracy of subsequent point cloud data processing and the reliability of related products.
关键词
激光雷达/机载LiDAR数据/点云滤波/地面种子点/数字高程模型Key words
LiDAR/airborne LiDAR data/point cloud filtering/ground seed point/DEM引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据