机载LiDAR原始点云数据质量检验方法研究

Method on Quality Assurance of Airborne Original LiDAR Point Cloud Data

机载LiDAR获取得到的原始激光点云数据量庞大,如何快速有效地对其进行质量检验,主要包括对覆盖完整性、旁向重叠度、点云噪声、点云密度、点云厚度、点云穿透性、属性信息完整性和点云精度等的检查。本文结合实际生产实践,探索研究出了实用的质量检验方法,可为行业从业人员提供参考。

The amount of original laser point cloud data obtained by airborne LiDAR is huge,so it is of vital importance for lidar re-flight and point cloud calculation that quality assurance be quickly and efficiently operated,which includes assurance of coverage,strip overlap,noise,point density,point cloud thickness,penetration,attribute information integrity and point accuracy.and so far,we have a very rare available software that can finish this work.Based on actual production,this paper explores the practical method of quality assurance,can provide a reference for industry practitioners.