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This document reviews the application of diffusion models in remote sensing (RS), highlighting their advantages in image processing tasks such as generation, enhancement, and interpretation. It discusses the theoretical background of diffusion models, their rapid adoption in RS since 2021, and compares them to other generative models like GANs and VAEs. The paper also addresses the limitations of current diffusion models in RS and suggests future research directions.

Author

rajitha

Language

EN