| 茂密植被区域LiDAR点云数据滤波方法研究 |
| |
| 引用本文： | 杨应,苏国中,周梅.茂密植被区域LiDAR点云数据滤波方法研究[J].遥感信息,2010(6):9-13. |
| |
| 作者姓名： | 杨应 苏国中 周梅 |
| |
| 作者单位： | [1]中国科学院研究生院,北京100049 [2]中国科学院光电研究院,北京100190 |
| |
| 基金项目： | 国家自然科学基金支持项目 |
| |
| 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。
|
| 关 键 词： | LiDAR 趋势面 滤波 插值 坡度 移动窗口 |
The Airborne LiDAR Point Clouds Data Filtering Method of the Dense Forest Area |
| |
| YANG Ying,SU Guo-zhong,ZHOU Mei.The Airborne LiDAR Point Clouds Data Filtering Method of the Dense Forest Area[J].Remote Sensing Information,2010(6):9-13. |
| |
| Authors: | YANG Ying SU Guo-zhong ZHOU Mei |
| |
| Affiliation: | ②(① Graduate University of the Chinese Academy of Sciences,Beijing 100049;② The Academy of Opto-Electronics,Chinese Academy of Sciences,Beijing 100190) |
| |
| Abstract: | 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. |
| |
| Keywords: | LiDAR trend surface filtering interpolation gradient moving window |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
