Utilization of Hopfield neural network and quasi-linear model for longshore current pattern simulation from RADARSAT

This study introduced a new approach for modeling longshore current pattern from sequential RADARSAT SAR images. Doppler frequency gradient shift from the two sequential RADARSAT images has been estimated. This model utilized to simulate the longshore current pattern. The quasi-linear model used to map the longshore pattern detected by Doppler frequency shift into the real longshore current simulated from significant wave height at breaking zone. A Hopfield neural network was applied to compare between longshore current estimated from Doppler frequency gradient shift and ones modeled from quasi-linear.