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。
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.
出处
《遥感信息》
CSCD
2010年第6期9-13,共5页
Remote Sensing Information
基金
国家自然科学基金支持项目编号:40871202
关键词
LIDAR
趋势面
滤波
插值
坡度
移动窗口
LiDAR
trend surface
filtering
interpolation
gradient
moving window
