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球面点云数据拟合的总体最小二乘解法 被引量:1

Total Least Squares Method for Sphere Point Cloud Data Fitting
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摘要 将总体最小二乘方法应用于球面点云数据拟合问题,应用顾及观测数据间相关性的总体最小二乘方法求解标靶球参数解;克服已有文献中仅顾及了系数阵误差,却忽视了系数阵与观测向量间相关性的问题;平差结果表明,采用本文求解思路能取得合理的平差结果。 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.
出处 《江西科学》 2017年第2期197-199,212,共4页 Jiangxi Science
基金 国家自然科学基金(41401437)
关键词 总体最小二乘 球面拟合 点云数据 最小二乘 total least squares, sphere point fitting, cloud data, least squares
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