Expanding Horizons: U-Net Enhancements for Semantic Segmentation, Forecasting, and Super-Resolution in Ocean Remote Sensing

Abstract

Originally designed for medical segmentation, the U-Net model excels in ocean remote sensing for segmentation, forecasting, and image enhancement. We propose enhancements like attention mechanisms, knowledge-data integration, and diffusion models to improve small target detection, ocean phenomena forecasting, and image super-resolution, expanding U-Net’s application and support in oceanographic research.