CHEN Yi, LU Jue, ZHENG Bo. Application of Total Least Squares to Space Resection[J]. Geomatics and Information Science of Wuhan University, 2008, 33(12): 1271-1274.
Citation: CHEN Yi, LU Jue, ZHENG Bo. Application of Total Least Squares to Space Resection[J]. Geomatics and Information Science of Wuhan University, 2008, 33(12): 1271-1274.

Application of Total Least Squares to Space Resection

Funds: 山东省基础地理信息与数字化技术重点实验室开放研究基金资助项目(SD060813)
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  • Received Date: October 15, 2008
  • Revised Date: October 15, 2008
  • Published Date: December 04, 2008
  • In space resection computing,the error equations are based on the collinearity equations.Because the coordinates of the ground point and the image point all exist errors.So total least squares(TLS) method is used.The method of TLS is one of several linear parameter estimation techniques that have been devised to compensate for data errors.Furthermore,TLS is the method of fitting that is appropriate when there are errors in both the observation vector b and the variable matrix A.So it can establish a more practical and suitable model so-called error-in-variables model.On the basis of this model,the errors in the observation vector b(e) and the variable matrix A(EA) can be corrected at the same time.
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