69510

A NEW PROPOSED APPROACH FOR DENSIFICATION OF THE CONVENTIONAL GEODETIC NETWORKS USING GPS INFORMATION

Article

Last updated: 04 Jan 2025

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Abstract

This research paper presents a methodology for densification of conventional geodetic
networks by adding GPS points. The feature of this method is to introduce a statistically optimal
procedure, based on least squares principle, that allows adjusting the new points, linking it to
primary points and connecting it to tie-points with same level neighbor points. The main question
to be answered in the current study is how to optimally add stations to the whole geodetic network
(existing and added stations)? Basic formulations are given. A numerical example is presented.
The obtained results are discussed and analyzed. The standard deviations will be used as a
precision criteria.

DOI

10.21608/erjm.2008.69510

Authors

First Name

A. M

Last Name

Rahil

MiddleName

-

Affiliation

Civil Engineering Department, Faculty of Engineering, Shebin El-Kom Minoufiya University, Egypt

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City

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Orcid

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First Name

A. M

Last Name

El Gohary

MiddleName

-

Affiliation

Civil Engineering Department, Faculty of Engineering, Shebin El-Kom Minoufiya University, Egypt

Email

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City

-

Orcid

-

First Name

M. I

Last Name

Doma

MiddleName

-

Affiliation

Civil Engineering Department, Faculty of Engineering, Shebin El-Kom Minoufiya University, Egypt

Email

-

City

-

Orcid

-

Volume

31

Article Issue

1

Related Issue

10534

Issue Date

2008-01-01

Receive Date

2020-01-30

Publish Date

2008-01-01

Page Start

101

Page End

106

Print ISSN

1110-1180

Online ISSN

3009-6944

Link

https://erjm.journals.ekb.eg/article_69510.html

Detail API

https://erjm.journals.ekb.eg/service?article_code=69510

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12

Type

Original Article

Type Code

1,118

Publication Type

Journal

Publication Title

ERJ. Engineering Research Journal

Publication Link

https://erjm.journals.ekb.eg/

MainTitle

A NEW PROPOSED APPROACH FOR DENSIFICATION OF THE CONVENTIONAL GEODETIC NETWORKS USING GPS INFORMATION

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Article

Created At

22 Jan 2023