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.
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