复杂城市环境的机载Lidar点云滤波

¹ 武汉大学计算机学院,武汉市珞喻路129号,430079² 武汉大学遥感信息工程学院,武汉市珞喻路129号,430079³ 清华大学电子工程系,北京市海淀区,100084

基金项目: 国家863计划资助项目(SQ2006AA12Z108506)。

详细信息

Filtering of Lidar Point Clouds for Complex Cityscapes

¹ School of Computer Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China ;² School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079,China ;³ Department of Electronic Engineering, Tsinghua University, Haidian District, Beijing 100084, China

Funds: 国家863计划资助项目(SQ2006AA12Z108506)。

摘要: 提出了一种新的Lidar点云滤波算法。该算法能对复杂的城市地貌进行滤波,无需事先进行三角网格化或栅格化,依靠点间的拓扑关系直接对原始点云进行滤波。实验结果表明,该滤波方法能有效保留地形特征,且不受房屋形状和大小的影响。
- 滤波 /
- 分割 /
- 激光扫描 /
- Lidar点云
Abstract: A new filtering algorithm of Lidar point clouds is preseted, which can work well in complex cityscapes. Its main features are filtering based on raw Lidar point clouds without previous triangulation or rasterization, and only dependeds on 3D topological relations between points. Experiment results show that the algorithm can preserve discontinuous features in the bare earth and has no impact of size and shape of buildings.
- filtering /
- segmentation /
- laser scanning /
- Lidar point clouds