Stereophotogrammetry for 2-D building deformation monitoring using Kalman Filter
Autor: | J. O. Odumosu, Victor Chukwuemeka Nnam, O. O. Adeleke, O. J. Avoseh, O. A. Ogundeji |
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Rok vydání: | 2020 |
Předmět: |
QB275-343
010504 meteorology & atmospheric sciences Computer science deformation 0211 other engineering and technologies 02 engineering and technology Kalman filter Deformation (meteorology) Geodesy 01 natural sciences Deformation monitoring matlab stereo-photogrammetry kalman filter MATLAB computer Stereo photogrammetry 021101 geological & geomatics engineering 0105 earth and related environmental sciences computer.programming_language |
Zdroj: | Reports on Geodesy and Geoinformatics, Vol 110, Iss 1, Pp 1-7 (2020) |
ISSN: | 2391-8152 |
Popis: | 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. |
Databáze: | OpenAIRE |
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