Volume 37 Issue 8
Aug.  2012
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ZHOU Yongjun, DENG Caihua. Weighted and Unweighted Total Least Square Methods and Applications to Heteroscedastic 3D Coordinate Transformation[J]. Geomatics and Information Science of Wuhan University, 2012, 37(8): 976-979.
Citation: ZHOU Yongjun, DENG Caihua. Weighted and Unweighted Total Least Square Methods and Applications to Heteroscedastic 3D Coordinate Transformation[J]. Geomatics and Information Science of Wuhan University, 2012, 37(8): 976-979.

Weighted and Unweighted Total Least Square Methods and Applications to Heteroscedastic 3D Coordinate Transformation

Funds: 国家自然科学基金资助项目(40974007);;中国博士后基金资助项目(20100480948)
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  • Received Date: June 14, 2012
  • Published Date: August 04, 2012
  • Traditional solution to 3D coordinate transformation problem is the optimal estimation at the cost function of the least squares(LS)for residual vector without consideration of point covariance.Whereas ordinary least squares and total least squares methods can not work well in the heteroscedastic cases.Then unweighted and weighted TLS methods are introduced and compared.The data experiments indicate that unweighted TLS method and LS method have the consistent results and the block row-wised WTLS method has the same results as the maximum likelihood estimator(MLE),and the element-wised method is not so accurate as MLE due to neglecting the correlations of the matrix elements.

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