An integrated framework is proposed that combines SOTA vision models with statistical modeling and physical priors to improve accuracy in water level detection and flow estimation.
Application of masked two- dimensional fourier spectrum for improving measurement accuracy of river surface flow
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Vision-Based Water Level and Flow Estimation
An integrated framework is proposed that combines SOTA vision models with statistical modeling and physical priors to improve accuracy in water level detection and flow estimation.