Objective
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 capable of handling SAR raw data and delivering near real-time application-specific inferences in different fields. To make these processes viable in the constrained space environment, ARGOS will focus on optimizing deep learning models, applying multi-tasking and Tiny AI approaches to reduce computational load and power consumption. The framework will be validated on representative space-qualified hardware, ensuring that the solutions can operate effectively under realistic resources. In parallel, the AI-driven approach will be benchmarked against state-of-the-art onboard SAR processing methods. The project will also demonstrate its versatility through demonstration scenarios, including maritime situational awareness, critical areas identification, and environmental monitoring.
ARGOS will advance Europe’s autonomy in intelligent EO capabilities, enabling faster, more efficient, and resilient responses to environmental and geopolitical challenges. Ultimately, the project will bridge the gap between algorithmic innovation and operational deployment, serving both environmental and security needs while reinforcing Europe’s leadership in space-based intelligence.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- engineering and technology environmental engineering ecosystem-based management climate change adaptation
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications radio technology radar
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.10 - Space, including Earth Observation
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2025-02
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
51147 KOLN
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.