Comparison of the quadratic equations of best fit for total station and GPS
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.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2016 Ali K. Hussein
This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal of Kufa-Physics is licensed under the Creative Commons Attribution 4.0 International License, which allows users to copy, to create extracts, abstracts, and new works from the Article, to alter and revise the Article, and to make commercial use of the Article (including reuse and/or resale of the Article by commercial entities), provided the user gives appropriate credit (with a link to the formal publication through the relevant DOI), provides a link to the license, indicates if changes were made and the licensor is not represented as endorsing the use made of the work. The authors hold the copyright for their published work on the JKP website, while KJP is responsible for appreciating citation for their work, which is released under CC-BY-4.0 enabling the unrestricted use, distribution, and reproduction of an article in any medium, provided that the original work is properly cited.
