Comparison of the quadratic equations of best fit for total station and GPS
Other Title(s)
مقارنة معادلات من الدرجة الثانية للمحطة المتكاملة و نضام التموضع العالمي
Author
Source
Issue
Vol. 7, Issue 2 (31 Dec. 2015), pp.16-22, 7 p.
Publisher
University of Kufa Faculty of Science Department of Physics
Publication Date
2015-12-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Husayn, Ali Kazim. 2015. Comparison of the quadratic equations of best fit for total station and GPS. Journal of Kufa-Physics،Vol. 7, no. 2, pp.16-22.
https://search.emarefa.net/detail/BIM-687903
Modern Language Association (MLA)
Husayn, Ali Kazim. Comparison of the quadratic equations of best fit for total station and GPS. Journal of Kufa-Physics Vol. 7, no. 2 (2015), pp.16-22.
https://search.emarefa.net/detail/BIM-687903
American Medical Association (AMA)
Husayn, Ali Kazim. Comparison of the quadratic equations of best fit for total station and GPS. Journal of Kufa-Physics. 2015. Vol. 7, no. 2, pp.16-22.
https://search.emarefa.net/detail/BIM-687903
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in English and Arabic.
Record ID
BIM-687903