A U-Net trained on MODIS nighttime SST with four previous days as input reconstructs artificially occluded pixels with lower RMSE than DINCAE in one comparison, but the reported 50 percent advantage is not supported by the paper's own numbers.
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Deep Learning for Sea Surface Temperature Reconstruction under Cloud Occlusion
A U-Net trained on MODIS nighttime SST with four previous days as input reconstructs artificially occluded pixels with lower RMSE than DINCAE in one comparison, but the reported 50 percent advantage is not supported by the paper's own numbers.