地面三维激光扫描地形测量数据粗差剔除算法及实现

Gross error elimination of terrain survey data obtained by terrestrial 3D laser scanning system

本文基于地面三维激光扫描技术用于地形测量时点云数据的特点,得到引起结果存在粗差的障碍物上的点云具有坡度大于实际地形上坡度的特征,并据此提出了一种实用的粗差提取算法。对算法的原理、实现过程和其中重要参数的确定进行了分析,并编程实现了算法。最后,应用实例对粗差提取效果进行了检验,证明了算法的可行性和可靠性。

As a new survey method, 3D laser scanning system has been widely used to get spatial information. The method of dealing with plentiful scanning points is a key aspect which determined the extending of this system. Based on the characteristics of scanning points of terrain survey got by terrestrial 3D laser scanning system, the paper gets a conclusion that the gradient of points on barriers which cause gross error is bigger than that on actual terrain. And an applied algorithm for gross error elimination had been put forward. The principle, the process of realization and some important parameters about the algorithm have been analyzed. At last, the effect of gross error elimination has been verified by an example, which showed that the algorithm is feasible and dependable.