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Stereophotogrammetry for 2-D building deformation monitoring using Kalman Filter

Authors
  • Odumosu, J. O.1
  • Adeleke, O. O.2
  • Nnam, V. C.3
  • Avoseh, O. J.1
  • Ogundeji, O. A.1
  • 1 Federal University of Technology, Nigeria , (Nigeria)
  • 2 University of Ilorin, Nigeria , (Nigeria)
  • 3 Enugu State University of Science and Technology, Nigeria , (Nigeria)
Type
Published Article
Journal
Reports on Geodesy and Geoinformatics
Publisher
Sciendo
Publication Date
Aug 07, 2020
Volume
110
Issue
1
Pages
1–7
Identifiers
DOI: 10.2478/rgg-2020-0006
Source
De Gruyter
Keywords
Disciplines
  • Original Article
License
Green

Abstract

Stereo photogrammetry has been used in this study to analyse and detect movements within the Lecture theater of School of Environmental Technology of Federal University of Technology Minna via the use of Kalman filter algorithm. The essential steps for implementation of this method are herein highlighted and results obtained indicate Ins. Mov.s (velocity) ranging from ±0.0000001 m/epoch to ±0.000007 m/epoch with greater movements noticed in the horizontal direction than in the vertical direction of the building. Because the observed movements were insignificant, the building has been classified as stable. However, a longer period of observation with a bi-monthly observational interval has been recommended to enable decision on the rate of rise/sink and deformation of the building.

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