基于椭圆拟合的隧道点云去噪方法  

Denoising of tunnel point cloud data based on ellipse fitting

作　　者：琚俏俏 程效军[1,2] 徐工[1] 

机构地区：[1]同济大学测绘与地理信息学院,上海200092 [2]现代工程测量国家测绘局重点实验室,上海200092

出　　处：《工程勘察》2014年第9期69-72,81,共5页Geotechnical Investigation & Surveying

基　　金：国家科技支撑计划(课题编号:2013BAK08B07)

摘　　要：针对地铁隧道这种具有特殊截面特征的狭长形构筑物,提出了一种基于椭圆拟合的点云去噪方法。首先通过建立隧道最小包围盒确定隧道的轴线方向;接着沿该方向用分段投影的方法得到隧道点云切片;最后对切片点云进行椭圆拟合,并根据拟合标准差设定阈值进行去噪。实验表明,该方法简单易行,能有效除去隧道点云数据中的噪声。In view of the special characteristic of the subway tunnel section and its long shape,a method for removing point cloud noise of the tunnel is presented.This method firstly determines the direction of the tunnel axis through the establishment of a minimum bounding box,secondly using the projection of tunnel point clouds segment to get the point cloud slices and fitting the points on the slices to the ellipse,finally identifies and removes the noise whose shifts are more than the thresholds of fitting standard deviation.The proposed method is rather simple and can be easily implemented.A case study is provided to illustrate its feasibility and efficiency.

关 键 词：最小包围盒 点云切片 椭圆拟合 点云去噪 

分 类 号：P231.5[天文地球—摄影测量与遥感]