A blind super-resolution method with attention-guided domain adaptation improves multispectral image quality for dead tree segmentation using unpaired data, achieving Dice scores of 54-64%.
Ada- net: Attention-guided domain adaptation network with contrastive learning for standing dead tree segmentation using aerial imagery
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Multispectral Blind Image Super-Resolution for Standing Dead Tree Segmentation
A blind super-resolution method with attention-guided domain adaptation improves multispectral image quality for dead tree segmentation using unpaired data, achieving Dice scores of 54-64%.