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• W3169040266 abstract "This study describes a multi-camera photogrammetric approach to measure the 3D velocity of free surface flow. The properties of the camera system and particle tracking velocimetry (PTV) algorithm were first investigated in a measurement of a laboratory open channel flow to prepare for field measurements. The in situ camera calibration methods corresponding to the two measurement situations were applied to mitigate the instability of the camera mechanism and camera geometry. There are two photogrammetry-based PTV algorithms presented in this study regarding different types of surface particles employed on the water flow. While the first algorithm uses the particle tracking method applied for individual particles, the second algorithm is based on correlation-based particle clustering tracking applied for clusters of small size particles. In the laboratory, reference data are provided by particle image velocimetry (PIV) and laser Doppler velocimetry (LDV). The differences in velocities measured by photogrammetry and PIV, photogrammetry and LDV are 0.1% and 3.6%, respectively. At a natural river, the change of discharges between two measurement times is found to be 15%, and the corresponding value reported regarding mass flow through a nearby hydropower plant is 20%. The outcomes reveal that the method can provide a reliable estimation of 3D surface velocity with sufficient accuracy." @default.
• W3169040266 created "2021-06-22" @default.
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• W3169040266 date "2021-06-17" @default.
• W3169040266 modified "2023-10-16" @default.
• W3169040266 title "Photogrammetry for Free Surface Flow Velocity Measurement: From Laboratory to Field Measurements" @default.
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• W3169040266 doi "https://doi.org/10.3390/w13121675" @default.
• W3169040266 hasPublicationYear "2021" @default.
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