基于迭代最小二乘的平面标靶点云去噪方法初探

Preliminary study on denoising method of planar target point cloud based on iterative least squares

平面标靶在三维激光测量作业中起到公共点的作用,标靶点云数据的有效提取和高效去噪对测量目标的点云数据总体质量影响较大。鉴于此,提出了基于迭代最小二乘的平面拟合方法去除标靶噪声,并以此为基本原理利用MATLAB编写了平面标靶点云去噪程序。实验中,分别采集了方形和黑白扇形两种标靶的点云数据,然后用程序进行了降噪处理。降噪成果分析表明该方法能够有效去除标靶噪声,提高了标靶点云数据的可靠性,为进一步提取平面标靶中心点坐标提供了理论基础。

The planar target plays a common role in the 3Dlaser measurement operation.The effective extraction of the target point cloud data and efficient denoising have a great influence on the overall quality of the point cloud data of the measurement target.In view of this,aplanar fitting method based on iterative least squares is proposed to remove the target noise,and the planar target point cloud denoising program is written by using MATLAB as the basic principle.In the experiment,the point cloud data of the square and black and white fan-shaped targets were collected separately,and then the noise reduction process was performed by the program.The results of noise reduction results show that the proposed method can effectively remove the target noise and improve the reliability of the target point cloud data,which provides a theoretical basis for further extraction of the coordinates of the center point of the planar target.