期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B3b
页码：11-14
出版社：Copernicus Publications
摘要：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 we use the Total Least Squares (TLS) method. The method of Total Least Squares 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 base of this model, the errors in the observation vector b (e) and the variable matrix A (E A ) can be corrected at the same time
关键词：total least squares; space resection; exterior orientation elements; least squares
