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Cyclone在数字校园三维激光点云数据预处理中的应用
引用本文:崔红超,贺小星,刘仁钊,马啸.Cyclone在数字校园三维激光点云数据预处理中的应用[J].北京测绘,2020(3):343-346.
作者姓名:崔红超  贺小星  刘仁钊  马啸
作者单位:湖北国土资源职业学院测绘地理信息学院;华东交通大学土木建筑学院
基金项目:湖北省教育厅科学技术项目(B2018515)。
摘    要:为了高效获取精确的数字校园地形图的测量数据,通过Leica ScanStation P40对校园进行三维激光点云数据采集,并结合Cyclone中的去噪模型对点云数据进行去噪,利用“六自由度”方法和ID号对标靶进行拟合,在一定约束条件下完成点云数据的坐标匹配、拼接以及优化,得到统一坐标系下的点云数据。结果表明:优化后的点云数据精度可达到6 mm。可见处理后的点云数据能够满足数字校园地形图的高精度要求。

关 键 词:点云拼接  标靶  三维激光扫描  去噪

Application of Cyclone in 3D Laser Point Cloud Data Preprocessing in Digital Campus
CUI Hongchao,HE Xiaoxing,LIU Renzhao,MA Xiao.Application of Cyclone in 3D Laser Point Cloud Data Preprocessing in Digital Campus[J].Beijing Surveying and Mapping,2020(3):343-346.
Authors:CUI Hongchao  HE Xiaoxing  LIU Renzhao  MA Xiao
Institution:(Surveying and Mapping Geographic Information College, HuBei Land Resources Vocational College, Wuhan Hubei 430090, China;Civil Architecture College, East China Jiaotong University, Nanchang Jiangxi 330000,China)
Abstract:In order to obtain the precise measurement data of digital campus topographic map efficiently,Leica ScanStation P40 was used to collect the three-dimensional laser point cloud data of the campus.Combining with the denoising model in Cyclone,the point cloud data was denoised.The target was fitted by"six degrees of freedom"method and ID number,and the coordinate matching,stitching and optimization of point cloud data were completed under certain constraints.The point cloud data in the unified coordinate system were obtained.The results show that the accuracy of the optimized point cloud data can reach 6 mm.It can be seen that the processed point cloud data can meet the high precision requirements of digital campus topographic map.
Keywords:point cloud mosaic  target  three-dimensional(3D)laser scanning  denoising
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