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| Content Provider | Springer Nature Link |
|---|---|
| Author | Felus, Yaron A. Burtch, Robert C. |
| Copyright Year | 2008 |
| Abstract | A 3-D similarity transformation is frequently used to convert GPS-WGS84-based coordinates to those in a local datum using a set of control points with coordinate values in both systems. In this application, the Gauss-Markov (GM) model is often employed to represent the problem, and a least-squares approach is used to compute the parameters within the mathematical model. However, the Gauss–Markov model considers the source coordinates in the data matrix (A) as fixed or error-free; this is an imprecise assumption since these coordinates are also measured quantities and include random errors. The errors-in-variables (EIV) model assumes that all the variables in the mathematical model are contaminated by random errors. This model may be solved using the relatively new total least-squares (TLS) estimation technique, introduced in 1980 by Golub and Van Loan. In this paper, the similarity transformation problem is analyzed with respect to the EIV model, and a novel algorithm is described to obtain the transformation parameters. It is proved that even with the EIV model, a closed form Procrustes approach can be employed to obtain the rotation matrix and translation parameters. The transformation scale may be calculated by solving the proper quadratic equation. A numerical example and a practical case study are presented to test this new algorithm and compare the EIV and the GM models. |
| Starting Page | 65 |
| Ending Page | 74 |
| Page Count | 10 |
| File Format | |
| ISSN | 10805370 |
| Journal | GPS Solutions |
| Volume Number | 13 |
| Issue Number | 1 |
| e-ISSN | 15211886 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2008-08-09 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Datum conversion Total least-squares adjustment Procrustes algorithm Electronic and Computer Engineering Automotive and Aerospace Engineering, Traffic Extraterrestrial Physics, Space Sciences Meteorology/Climatology Geophysics/Geodesy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences |
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