Development of geodetic deformation analysis software based on iterative weighted similarity transformation technique
Deformation analysis is one of the most challenging tasks in engineering survey. The analysis of deformation is essential to monitor the movement of established network or of object under study for many purposes such as tectonic movement or monitoring of large engineering structures (e.g. dams, brid...
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| Format: | Thesis |
| Language: | English |
| Published: |
2013
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| Online Access: | http://eprints.utm.my/id/eprint/34604/1/AbdallatefAMMohamedMFGHT2013.pdf http://eprints.utm.my/id/eprint/34604/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69882?site_name=Restricted Repository |
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| Summary: | Deformation analysis is one of the most challenging tasks in engineering survey. The analysis of deformation is essential to monitor the movement of established network or of object under study for many purposes such as tectonic movement or monitoring of large engineering structures (e.g. dams, bridges and etc). This study will concentrate on the development of computational software for the purpose of 2D geodetic network deformation analysis. The tasks in the study are divided into two parts – the least squares adjustment (LSA) computation and the analysis of deformation. The LSA is initially done by employing minimum constraint technique. The analysis of deformation is been performed using robust technique known as Iterative Weighted Similarity Transformation (IWST). The software developed in this study was implemented for deformation analysis by utilizing two epochs of measurement data performed on a deformation network. Results obtained from this computation show a very good agreement with results of a previous exercise computed using the same data set. |
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