中文摘要：

点云数据的滤波和分类是激光雷达数据应用处理重要环节,是当前研究的热点问题。本文针对茂密植被区域点云数据的特点,提出了以移动窗口和坡度算法为基础的改进的点云数据滤波算法。试验结果表明,改进的滤波算法对地形变化复杂、植被郁闭度较高覆盖、地面激光脚点比少的点云数据有良好的效果。

英文摘要：

The filtering of airborne LiDAR point clouds data is an important step for application and it is also a hot issue.This paper proposes a new filtering method of dense vegetation area point clouds data with the moving window and gradient technology,and uses the trend surface and elevation interpolation to improve the accuracy of classification.The experimental results show that it is effective in the complex and dense forest terrain.It has obvious advantages in the dense forest area airborne LiDAR point clouds classification.