基于形态学的机载LiDAR点云滤波研究

SMRF算法又称改善的简单形态学滤波算法,该算法相比以往算法有较高的滤波精度,效率高.该研究从点云格网化、迭代开运算和原始点云滤波3个方面分析SMRF算法的优势,并针对该算法最大窗口半径参数确定难的问题,提出了基于高次曲线极值的滤波窗口探测的形态学机栽云滤波,通过程序自动寻找最优最大滤波窗口半径,摆脱了以往需要人工确定形态学滤波开运算的最大滤波窗口问题.实验表明该方法是可行的,这不仅降低了参数输入的门槛,而且滤波精度较高,这对机载激光雷达点云数据后处理向着自动化处理发展具有重要的意义.

Filtering of Airborne LiDAR Point Cloud Based on Morphology

SMRF algorithm called improved simple morphological filtering algorithm is compared to the previous algorithm and has higher filtering accuracy and high efficiency.The strengths were analyzed by the grid operator,iterative open computation and original point cloud filtering.Aming at the problem that determining the maximum window radius is difficult,based on extreme high-order curve filtering window to detect airborne cloud morphological filtering window radiu,by automatically looking for ways to find the optimal maximum filtering maximum window radius,out of manually determining the morphological filtering the maximum window of opening operation.Test shows that the method is feasible,it not only reduces input parameters threshold but also has higher filtering accuracy.Airborne LiDAR point cloud data processing towards the automated processing of development is of great significance.