摘要
简述目前几种主要的点云滤波方法,运用MatLab语言编程实现移动窗口最小二乘曲面拟合算法对数据进行滤波处理,经实验数据分析取得良好的滤波效果,能有效滤除点云噪声,获得高精度的建模数据,同时很好地保持地形特征。
It analzyes several point cloud filtering methods. The least-squares curve fitting algorithm is adopted to filter the data from a moving window with MatLab programming language, The experimental data,which prove to be effective, can effectively filter the point cloud noise and obtain high-precision modeling data, and meanwhile maintain its edge feature.
出处
《测绘工程》
CSCD
2013年第1期35-38,共4页
Engineering of Surveying and Mapping
关键词
三维激光扫描
数据处理
点云滤波
移动窗口
3D laser scanning
data processing
point cloud filter
moving window
