Onboard Multi-Frame Super Resolution Image study
Super-resolution refers to the process of improving the spatial resolution, that is, the level of detail, of an image or an acquisition system. Our innovative idea is to use OPS-SAT’s powerful on-board computer to deploy a machine learning-based super-resolution algorithm directly on-board the satellite. It has the potential of opening new perspectives of EO applications mainly in time-critical domains like safety and security. In the frame of this experiment, we successfully developed and deployed an AI-based multi-frame super resolution algorithm on-board OPS-SAT achieving a notable improvement in image quality and proving the merits of the proposed approach. The study was undertook by OHB Hellas with FORTH as a subcontractor.