基于格网化LIDAR点云数据坡度滤波方法的研究

摘要

LIDAR data is the most ideal production DEM/DSM data sources.Using airborne laser radar for obtaining DEM/DESM data is the most direct application of airborne LIDAR.This paper proposes a point cloud classification method combined LIDAR point cloud data grid with slope filtering approach for LIDRA point cloud data pre-processing,which avoids the LIDAR point cloud data within interpolation or smoothing caused by the loss of information,and introduces the slope saltation into selection of the second ground point of grid processedLIDAR point cloud data to improve the effect of the LIDAR point cloud data classification.%LIDAR数据是目前生产DEM/DSM最为理想的数据源,利用机载激光雷达获取DEM/DSM数据是机载激光雷达最为直接的应用.本文提出了一种将LIDAR点云数据格网化与坡度滤波相结合的点云分类方法,该方法将数据格网化的概念用于LIDAR点云数据的预处理,避免了LIDAR点云数据内插或者平滑造成的信息损失,并且引入坡度突变对格网化处理后的LIDAR点云数据进行第二次地面点的选取,提高了LIDAR点云数据分类的效果.