地面点云噪声分类剔除方法
he Method of Removing Noise Data of the Ground Point Cloud Based on Classifaction
三维激光扫描仪对地面进行扫描时，会产生很多粗差点，对后续研究带来很多不便。针对三维激光扫描数据的特点，对点云数据进行分类，用最小二乘法拟合曲面来剔除距离实体较远的点，然后建立空间三角格网模型剔除距离地面较近的异常数据。实验结果表明，此种方法能有效的将地面点云中的噪声点剔除干净。
When we are scanning the ground with three-dimensional laser scanner, it will generate a lot of wrong points, which will bring a lot of inconvenience on the follow-up study.We classify the point cloud of 3D laser scanner against to the characteristics, and then remove points which farther from the substance through Using the method of least squares to fit surface, at last, set up a space triangular grid to remove points which closer from the substance. The results show that, this method can remove the noise data of the point cloud cleanly.
羌云娟、秦臻
工程设计、工程测绘
点云数据最小二乘法空间三角格网
Point Cloudthe Method of Least Squaresthe Space Triangular Grid
羌云娟,秦臻.地面点云噪声分类剔除方法[EB/OL].(2010-06-02)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201006-32.点此复制
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