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This research addresses the challenge of domain shift in remote sensing image segmentation, with a focus on enhancing segmentation using the Cyprus U-Net adaptation. By evaluating multispectral data, the study leverages transfer learning and synthetic data approaches amidst detection advancements and data limitations. The framework utilizes datasets from Cyprus and Greek regions, employing a U-Net with ResNet-50 architecture. Results reveal the nuanced impacts of domain shifts and synthetic...