8 citations · 10 across the 5 of their papers we have counts for
3 papers · 1 filter
Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites
Meghan Plumridge, Rasmus Maråk, Chiara Ceccobello +4
Segmentation of Earth observation (EO) satellite data is critical for natural hazard analysis and disaster response. However, processing EO data at ground stations introduces delay…
Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations
Pablo Gómez, Roland D. Vavrek, Guillermo Buenadicha +3
State-of-the-art space science missions increasingly rely on automation due to spacecraft complexity and the costs of human oversight. The high volume of data, including scientific…
Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit
Johan Östman, Pablo Gomez, Vinutha Magal Shreenath +1
Onboard machine learning on the latest satellite hardware offers the potential for significant savings in communication and operational costs. We showcase the training of a machine…