基于卡尔曼滤波的二维建筑变形监测的立体摄影测量

IF 0.3 Q4 REMOTE SENSING Reports on Geodesy and Geoinformatics Pub Date : 2020-08-07 DOI:10.2478/rgg-2020-0006
J. Odumosu, O. Adeleke, V. C. Nnam, O. J. Avoseh, O. A. Ogundeji
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引用次数: 1

摘要

摘要本研究利用立体摄影测量技术,利用卡尔曼滤波算法对米纳联邦工业大学环境技术学院的演讲厅内的运动进行分析和检测。本文强调了实施该方法的基本步骤,所获得的结果表明。Mov。S(速度)范围从±0.0000001 m/epoch到±0.000007 m/epoch,在水平方向上的运动比在垂直方向上的运动更大。由于观察到的运动微不足道,该建筑被列为稳定建筑。但是,建议进行较长时间的观测,间隔为两个月,以便确定建筑物的上升/下沉速度和变形速度。
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Stereophotogrammetry for 2-D building deformation monitoring using Kalman Filter
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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28.60%
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审稿时长
12 weeks
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