基于混合最小二乘与总体最小二乘的激光雷达滤波算法

LiDAR Filtering Algorithm Based on Mixed Least Squares and Total Least Squares

机载激光雷达点云数据滤波技术是LiDAR数据后处理最关键的内容之一。利用最小二乘平差的曲面拟合滤波算法存在一定不足,基于混合最小二乘和总体最小二乘的算法可以有效弥补不足。本文提出一种基于混合最小二乘和总体最小二乘的曲面拟合滤波算法。实验表明,本文滤波算法效果良好,满足实际应用需求。

The airborne LiDAR point cloud data filtering technology is one of the most critical contents of LiDAR data processing.There are some shortcomings in surface fitting filtering algorithm based on least square adjustment.The algorithm based on mixed least squares and total least squares can effectively compensate for deficiencies.In this paper,a surface fitting filtering algorithm based on mixed least squares and total least squares is proposed.Experiments show that the filtering algorithm is effective and meets the practical application needs.