| 注册
首页|期刊导航|江西科学|球面点云数据拟合的总体最小二乘解法

球面点云数据拟合的总体最小二乘解法

万建鹏 叶素倩

江西科学2017,Vol.35Issue(2):197-199,212,4.
江西科学2017,Vol.35Issue(2):197-199,212,4.DOI:10.13990/j.issn1001-3679.2017.02.003

球面点云数据拟合的总体最小二乘解法

Total Least Squares Method for Sphere Point Cloud Data Fitting

万建鹏 1叶素倩2

作者信息

  • 1. 广东省核工业地质局测绘院,510800,广州
  • 2. 广州开发区、黄埔区国土资源和规划局,510700,广州
  • 折叠

摘要

Abstract

The total least squares (TLS) method which considers the correlation of all data is used to sphere point cloud data fitting problem.The TLS method overcomes the problem which only considers the errors in the coefficient matrix while overlook the correlation between the observation vector and the coefficient matrix.The results show that sphere point cloud data fitting problem is well solved by the TLS method.

关键词

总体最小二乘/球面拟合/点云数据/最小二乘

Key words

total least squares/sphere point fitting/cloud data/least squares

分类

天文与地球科学

引用本文复制引用

万建鹏,叶素倩..球面点云数据拟合的总体最小二乘解法[J].江西科学,2017,35(2):197-199,212,4.

基金项目

国家自然科学基金(41401437). (41401437)

江西科学

1001-3679

访问量0
|
下载量0
段落导航相关论文