Harnessing the Power of Diffusion Models for Remote Sensing: Principles, Methods, and Perspectives

Diffusion models have emerged as a powerful deep generative approach with remarkable capabilities in various computer vision tasks, including remote sensing image processing. This paper provides a comprehensive review of the principles, methods, and perspectives of applying diffusion models to address a wide range of remote sensing challenges, such as image generation, enhancement, and interpretation.