DocumentCode
3283153
Title
Notice of Retraction
Research on application of combined model for GPS leveling
Author
Liu Yong-rui ; Wang Pei-xian
Author_Institution
Surveying & Geogr. Sci. Dept., Liaoning Tech. Univ., Fuxin, China
fYear
2011
fDate
15-17 April 2011
Firstpage
658
Lastpage
661
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, based on the introducement of GPS geoid height, normal height and orthometric height and three mutual relations , the principle of GPS standard, with the known data to use several fitting methods to carry on the fitting separately will be disscussed. The observational GPS data and existing geometry leveling data of Kangping and Kangbei mining area used, second degree surface model, shepard surface model, weight aggregate model and mixed fitting model are be used separately to fit the abnormal height, and the accuracy of each model are given. And automatic data processing programming is programmed in the Matlab language.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, based on the introducement of GPS geoid height, normal height and orthometric height and three mutual relations , the principle of GPS standard, with the known data to use several fitting methods to carry on the fitting separately will be disscussed. The observational GPS data and existing geometry leveling data of Kangping and Kangbei mining area used, second degree surface model, shepard surface model, weight aggregate model and mixed fitting model are be used separately to fit the abnormal height, and the accuracy of each model are given. And automatic data processing programming is programmed in the Matlab language.
Keywords
Global Positioning System; height measurement; level measurement; surface fitting; GPS data; GPS geoid height; GPS leveling; GPS standard; Kangbei mining area; Kangping mining area; Matlab language; automatic data processing progamming; fitting methods; geometry leveling data; mixed fitting model; normal height; orthometric height; second degree surface model; shepard surface model; weight aggregate model; Analytical models; Fitting; Global Positioning System; Mathematical model; Numerical models; Surface fitting; Surface topography; GPS leveling; combined model; geodetic elevation; height anomaly; normal height; single model;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777750
Filename
5777750
Link To Document