首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于RANSAC算法的隧道点云横断面提取
引用本文:丁鸽,燕立爽,彭健,朱传广,黄雪亭.基于RANSAC算法的隧道点云横断面提取[J].测绘通报,2021,0(9):120-123.
作者姓名:丁鸽  燕立爽  彭健  朱传广  黄雪亭
作者单位:济南市勘察测绘研究院, 山东 济南 250013
摘    要:针对最小二乘法对所有点(包括"局外点")拟合难以得到最佳线性参数的问题,本文基于RANSAC算法对观测值随机抽样进行参数估算,判断符合模型的"内部点"为一致集,并通过迭代得到足够的一致集,最后设计试验验证该算法的适用性;对隧道点云采用基于中轴线方法进行边界提取,以及三维激光扫描用于生产实践提供参考意义。

关 键 词:三维激光扫描  最小二乘法  随机采样一致性  横断面点云  特征提取  
收稿时间:2021-03-11
修稿时间:2021-07-22

Cross section extraction of tunnel point cloud based on ransac algorithm
DING Ge,YAN Lishuang,PENG Jian,ZHU Chuanguang,HUANG Xueting.Cross section extraction of tunnel point cloud based on ransac algorithm[J].Bulletin of Surveying and Mapping,2021,0(9):120-123.
Authors:DING Ge  YAN Lishuang  PENG Jian  ZHU Chuanguang  HUANG Xueting
Institution:Jinan Institute of Surveying and Mapping Survey, Jinan 250013, China
Abstract:Because it is difficult to get the best linear parameters by least square method by fitting all points, including "outliers", this paper presents a method based on RANSAC algorithm to estimate the parameters by random sampling the observed values, the "inner point" of the model is a consistent set until a sufficient consistent set is obtained under a certain number of iterations. The boundary of tunnel point cloud is extracted based on the method of central axis, which provides a reference for the application of 3D laser scanning in production.
Keywords:3D laser scanning  least squares  random sampling consistency  cross-sectional point cloud  feature extraction  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《测绘通报》浏览原始摘要信息
点击此处可从《测绘通报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号