摘要
现有地面三维激光扫描点云数据滤波算法较少,针对地形复杂区域的点云滤波效果更是不甚理想,因此对二维聚类算法进行改进,提出三维点云聚类滤波算法,并对其在地形复杂区域的TLS数据滤波中的应用进行研究。以重庆鸡冠岭危岩体的TLS数据为例,分别采用曲率平滑滤波方法和文中提出的点云聚类滤波方法处理,并对两种方法处理过的数据进行形变量计算和分析。实验证明,针对植被覆盖茂密、地形复杂的山体,该方法的点云滤波效果较好,且处理速度有较大提升,能为点云后期形变量计算提供较好的基础。
The current algorithm of TLS point clouds filtering is less,and the effect is far from ideal when the terrain is complex,so a 3Dpoint clouds cluster algorithm is proposed based on the 2Dcluster algorithm to solve this problem in this paper.Taking the TLS data of Jiguanling dangerous rock mass as the example,the curvature smoothing filtering method and the 3Dpoint clouds cluster algorithm are used to process the data respectively,thus calculating and analyzing their deformations.The experiment shows that the method proposed in this paper gets a better result,has a faster processing speed and provides a good foundation for the deformation calculation when processing data of complex terrain with dense vegetation.
出处
《测绘工程》
CSCD
2017年第4期64-69,共6页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(41372375)
关键词
TLS
滤波
三维聚类算法
曲率平滑滤波
形变量
TLS filtering
3D cluster algorithm
curvature smoothing filtering
deformation
