机载激光雷达点云的阶层式分类

Application of the hierarchy classification to point cloud of airborne LIDAR

激光雷达是一种快速获得高密度高精度的三维数字地面信息的新技术。本文介绍了几种激光雷达数据过滤算法,提出了激光雷达点云数据的阶层式分类策略,并将基于航拍影像数据进行着色后的机载激光雷达点云数据作为研究对象,对其应用激光雷达数据过滤算法进行阶层式分类。实验结果表明,此种方法能有效地对大部分地物信息进行过滤和分类。

LIDAR is a new technology for instantly obtaining the 3-dimensional digital surface information with a high density and high positional accuracy.In this paper, a few filtering algorithms of LIDAR data are introduced, and the hierarchy method of classification from point cloud of LIDAR data is presented.Based on the research object of point cloud data of airborne LIDAR rendered by digital aerial images, hierarchy classification is experimented by using algorithms of data filtering.The experimental result shows that this method is able to filter and classify a majority of object information effectively.