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Development of geodetic deformation analysis software based on iterative weighted similarity transformation technique

机译:基于迭代加权相似变换技术的大地变形分析软件开发

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摘要

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.
机译:变形分析是工程勘测中最具挑战性的任务之一。变形分析对于监视已建立的网络或正在研究的对象的运动(对于诸如构造运动或大型工程结构(例如水坝,桥梁等)的监视等许多目的)至关重要。这项研究将集中于为二维大地测量网络变形分析目的的计算软件的开发。研究中的任务分为两个部分-最小二乘平差(LSA)计算和变形分析。 LSA最初是通过采用最小约束技术来完成的。使用称为迭代加权相似度转换(IWST)的强大技术来执行变形分析。通过利用在变形网络上执行的两个时期的测量数据,将本研究开发的软件用于变形分析。从该计算获得的结果与使用相同数据集计算的先前练习的结果显示出非常好的一致性。

著录项

  • 作者

    Mohamed Abdallatef A. M.;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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