复杂场景中机载激光雷达点云数据地面滤波方法研究
Research on ground filtering method for LiDAR point cloud data in complex scenarios
吴邓杰1
作者信息
- 1. 山西省测绘地理信息院,山西 太原 030001
- 折叠
摘要
为了提高复杂场景点云数据滤波分类效率,提出了一种将多阶段松紧约束结合的地面滤波算法与基于分段能量函数优化相结合的滤波方法.工程实例验证结果表明:该方法能够提升机载激光点云数据处理的自动化和复杂场景适应能力,满足精度和高效处理需求.
Abstract
In order to improve the filtering and classification efficiency of point cloud data in complex scenes,a ground point filtering algorithm combining multi-stage elastic constraints and a filtering method based on segmented energy function optimization are proposed.The engineering example verification results show that this method can improve the automation and complex scene adaptability of LiDAR point cloud data processing,meet the requirements of accuracy and high efficient processing.
关键词
机载激光点云/复杂场景/地面滤波Key words
LiDAR/complex scenes/ground filtering引用本文复制引用
出版年
2024
NETL
NSTL
万方数据