多源数据与机载LiDAR数据的DTM提取算法

New algorithm of LiDAR filtering with multiple data

本文提出了基于坡度因子的概念、利用已知DEM辅助信息、针对LIDAR点云迭代进行DTM提取的新方法。主要介绍了多源数据配准、激光点云滤波算法的原理,并在山地、居民、水域等地区进行了实验,同时应用两种精度验证方法对实验数据进行运算和评价。实验证明该算法不依赖初始坡度设定,自适应性较好。

This article presents a new algorithm of airborne LiDAR （Light Detection And Ranging） filter with slope factors based on multiple data,taking given Digital Terrain Model （DTM） as an example.First,the increasing demand of LiDAR and its elements shall be introduced.Second,there are several good laser points filtering algorithms based on laser points only,which would have limited adaptabilities.Third,the approach and concepts of this new filtering method are recommended in the paper.And then the experiment conclusion,issues occurred and the following research plan are presented.