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- W4385976199 abstract "Video-based vibration measurement technology offers the benefits of noncontact measurement and high automation. By mounting a camera on an unmanned aerial vehicle (UAV), it enables the assessment of vibrations in objects that are inaccessible with traditional fixed camera systems, including large buildings and elevated mechanical equipment. However, existing video-based vibration measurement methods are challenging with UAV-mounted airborne cameras. In this paper, we present an anti-disturbance video-based vibration measurement method that enables an airborne camera to accurately measure the vibrations of a target structure despite the presence of airflow-induced shaking. To address the global nature of UAV disturbances and the localized nature of target vibrations in the spatial domain, we propose a vibration extraction framework that leverages regional adjacent-frame phase differences. Furthermore, we design a baseline correction algorithm named piecewise empirical mode decomposition to suppress disturbances in the temporal domain by utilizing the trend characteristics of UAV disturbances in the phase difference sequence. Experiments are conducted in laboratory and outdoor settings, revealing that the correlation coefficient between the spectrums measured by the proposed method and the ground truth can reach 0.97. The results demonstrate that the proposed method outperforms existing state-of-the-art approaches with higher accuracy." @default.
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- W4385976199 date "2023-01-01" @default.
- W4385976199 modified "2023-10-14" @default.
- W4385976199 title "Video-Based Vibration Measurement Using an Unmanned Aerial Vehicle: An Anti-Disturbance Algorithm for the Shaking of Airborne Cameras" @default.
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- W4385976199 doi "https://doi.org/10.1109/tim.2023.3306538" @default.
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