1 citations · 1 across the 6 of their papers we have counts for
10 papers
Behavioural self-monitoring for autonomous earth observation agents: The attribute reliability monitor (ARM)
Alejandro D. Mousist
Language and vision language models can support autonomous systems, but changing operating conditions may compromise the reliability of their semantic outputs. This work introduces…
WISE: A Lightweight, Weakly-Supervised Model for Onboard Fire Smoke Detection and Localization
Sha Lu, Yu Sun, Liang Zhao +6
Wildfire smoke detection from satellite imagery is critical for early warning and rapid response. For onboard satellite deployment, detection systems must operate under strict memo…
Adaptive Band Selection for Hyperspectral Classification with Spatially Disjoint Evaluation
Ikram El-Hajri, Ouassim Karrakchou, Alejandro Mousist
Hyperspectral band selection methods based on differentiable selectors can be sensitive to initialization and to extracting a final discrete subset, while prescribed band counts li…
Beyond detection: cooperative multi-agent reasoning for rapid onboard EO crisis response
Alejandro D. Mousist, Pedro Delgado de Robles Martín, Raquel Lladró Climent +1
Rapid identification of hazardous events is essential for next-generation Earth Observation (EO) missions supporting disaster response. However, current monitoring pipelines remain…
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…
Autonomous Payload Thermal Control
Alejandro D. Mousist
In small satellites there is less room for heat control equipment, scientific instruments, and electronic components. Furthermore, the near proximity of electronic components makes…
Image-to-image Translation as a Unique Source of Knowledge
Alejandro D. Mousist
Image-to-image (I2I) translation is an established way of translating data from one domain to another but the usability of the translated images in the target domain when working w…