基于最小二乘曲线拟合法的点云滤波算法研究

摘要

As a key of airborne laser data processing,the filtering of point cloud has been an important prerequisite and research focus of data applications. Take a full account of data that obtained by line scanning,and combine the fitting values that obtained by least squares curve fitting the method can follow the change of terrain,therefore the method is applied to filtering of point cloud. The experimental results show that the filtering algorithm can obtain the true ground points,and has a good effect at complex urban and slope regions.%作为机载激光雷达数据处理的关键环节,激光雷达点云滤波一直是数据应用的重要前提和研究热点.本文充分考虑激光雷达通过线扫描获取数据的特点,并结合最小二乘曲线拟合法得到的拟合值具有跟随地形变化的特点,提出了一种最小二乘曲线拟合法用于点云滤波的算法.试验结果表明,该算法能获得准确的地形点,对地物复杂的城区及斜坡地区都有良好的滤波效果.