UNet-SAR: Deep Learning for Simulating Synthetic Aperture Radar Sea Surface Roughness in Northwest Pacific Western Boundary Region
This study presents UNet-SAR, a deep-learning framework based on a U-shaped network (UNet) encoder–decoder architecture for simulating sea-surface roughness represented by vertical–vertical (VV)-polarized normalized radar cross section (NRCS) under complex sea states in the Northwest Pacific western boundary current re...