SOURCE-LINKED INTELLIGENCE
Artificial intelligence for Real-time Guidance of Onboard SAR applications
Artificial intelligence for Real-time Guidance of Onboard SAR applications Spaceborne Earth Observation (EO) systems are critical to addressing Europe’s environmental and security challenges, from climate change monitoring and disaster response to border surveillance and situational awareness. Synthetic Aperture Radar (SAR) satellites are particularly valuable given their ability to capture data independent of weather or lighting conditions. However, the complexity of SAR signals, the computational demands of image formation, and the limited resources of spaceborne platforms hinder the deployment of advanced onboard applications. To overcome these bottlenecks, the ARGOS project will develop a novel end-to-end Artificial Intelligence (AI) framework enabling high-level SAR applications directly from raw data onboard satellites. The project will design a unified onboard processing chain ca
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2000223.71
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.