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Comparison of the quadratic equations of best fit for total station and GPS | ||
| Journal of Kufa - physics | ||
| Article 1, Volume 7, Issue 2, 2015, Pages 16-22 | ||
| Author | ||
| Ali K. Hussein | ||
| Abstract | ||
| The adjustment of observation is an important applications in the remote sensing and the geodesy. for this purpose , nineteen control ground points at the University of Baghdad, navigated by Garmine GPS navigator (UTM projection, WGS-84 Datum) has accuracy about (15-100) m and measured by the Total Station Leica 1200. The configuration of set data or these control ground points were a full curve in the real world. In this paper, the none liner Least-Squares Estimation Method (NLLSEM) has been used to estimate parameters of the quadratic function and to test configuration of the points . The quadratic function for total station and GPS, have been compared and many mathematical processes have been written by MATLAB language. The quadratic function of best fit for total station : y(x)=-0.38*x2+3.4e+005*x-7.4e+010 with accuracy 3.7422e+019 m2 but for GPS :y(x)=-0.24*x2+2.1e+005*x-4.7e+010 with accuracy 1.0336e+019 m2. | ||
| Keywords | ||
| Total Station; The quadratic Function; least; Squares Method; GPS; Matlab | ||
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