ABSTRACT
Ye, Y.; Lin, Y.-T.; Shi, H.; Jiao, P., and He, Z., 0000. Coastal observation system integrating binocular-vision and large-scale particle image velocimetry techniques for monitoring wave dynamics and morphological changes.
An improved coastal observation system integrating binocular-vision method with large-scale particle image velocimetry was developed and validated for nearshore wave and morphological monitoring in swash zones. This system incorporates an advanced detector-free matching algorithm, the local feature transformer, which enables high-quality matches in regions with low texture or repetitive patterns. In addition, a new calculation method based on the velocity-area principle was proposed to estimate wave-overtopping discharge. The system showed strong performance in estimating water-level fluctuations, swash zone morphology, surface velocity, and wave-overtopping discharge, with errors of less than 11% compared with field measurements. Field applications during the typhoon event in 2024 (Typhoon Prapiroon) further demonstrated the system’s capability and feasibility. This system has the potential to significantly advance the development of early-warning systems for coastal disaster prevention and mitigation in the future.
