Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution

1. 1Build a dataset of synthetically degraded satellite images
2. 2Train a super-resolution model on the dataset
3. 3Test the model on real cross-sensor imagery
4. 4Evaluate the performance of the model using metrics such as PSNR and SSIM
5. 5Analyze the domain gap by comparing the model's performance on synthetic and real data

Data scientists and AI engineers working on satellite image processing benefit from understanding the domain gap, as it affects the performance of super-resolution models on real-world data

💡 The domain gap between synthetic and real data affects the performance of super-resolution models, and quantifying it is essential for accurate Earth observation

💡 Quantifying the domain gap in cross-sensor diffusion super-resolution improves satellite image resolution #AI #RemoteSensing