8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2024
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…
cs.LG2023★ 8 cited
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…