1 citations · 1 across the 6 of their papers we have counts for
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First On-Orbit Demonstration of a Geospatial Foundation Model
Andrew Du, Roberto Del Prete, Alejandro Mousist +6
Geospatial foundation models (GeoFMs) promise broad generalisation capacity for Earth observation (EO) tasks, particularly under data-limited conditions. However, their large size…
ASTREA: Introducing Agentic Intelligence for Orbital Thermal Autonomy
Alejandro D. Mousist
This paper presents ASTREA, the first agentic system executed on flight-heritage hardware (TRL 9) for autonomous spacecraft operations, with on-orbit operation aboard the Internati…
Confidence-gated training for efficient early-exit neural networks
Saad Mokssit, Ouassim Karrakchou, Alejandro Mousist +1
Early-exit neural networks reduce inference cost by enabling confident predictions at intermediate layers. However, joint training often leads to gradient interference, with deeper…
Real-Time Blind Defocus Deblurring for Earth Observation: The IMAGIN-e Mission Approach
Alejandro D. Mousist
This work addresses mechanical defocus in Earth observation images from the IMAGIN-e mission aboard the ISS, proposing a blind deblurring approach adapted to space-based edge compu…