<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Stereophotogrammetry for 2-D building deformation monitoring using Kalman Filter

Department of Surveying and Geoinformatics

Enugu State University of Science and Technology

Reports on Geodesy and Geoinformatics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Stereophotogrammetry for 2-D building deformation monitoring using Kalman Filter"}

Stereo photogrammetry has been used in this study to analyse and detect movements within the Lecture theater of School of Environmental Technology of Federal...

Stereophotogrammetry for 2-D building deformation monitoring using Kalman Filter

Article Category: Original Article

Online veröffentlicht: 07. Aug. 2020

Seitenbereich: 1 - 7

Eingereicht: 08. März 2020

Akzeptiert: 26. Juni 2020

DOI: https://doi.org/10.2478/rgg-2020-0006

Schlüsselwörter
deformation, Kalman filter, stereo-photogrammetry, MATLAB

© 2020 J. O. Odumosu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Stereophotogrammetry for 2-D building deformation monitoring using Kalman Filter

Article Category: Original Article

Online veröffentlicht: 07. Aug. 2020

Seitenbereich: 1 - 7

Eingereicht: 08. März 2020

Akzeptiert: 26. Juni 2020

DOI: https://doi.org/10.2478/rgg-2020-0006

Schlüsselwörterdeformation, Kalman filter, stereo-photogrammetry, MATLAB

© 2020 J. O. Odumosu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
deformation, Kalman filter, stereo-photogrammetry, MATLAB