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Expanding Horizons:U-Net Enhancements for Semantic Segmentation,Forecasting,and Super-Resolution in Ocean Remote Sensing
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作者 Haoyu Wang Xiaofeng Li 《Journal of Remote Sensing》 2024年第1期319-323,共5页
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 integrati... 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. 展开更多
关键词 small target detectionocean oceanographic research forecasting super resolution medical segmentationthe semantic segmentation diffusion models ocean remote sensing
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