AI RESEARCH
A Self-Supervised Framework for Space Object Behaviour Characterisation
arXiv CS.LG
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ArXi:2504.06176v3 Announce Type: replace Foundation Models, which leverage large neural networks pre-trained on unlabelled data before fine-tuning for specific tasks, are increasingly being applied to specialised domains. Recent examples include ClimaX for climate and Clay for satellite Earth observation, but a Foundation Model for Space Object Behavioural Analysis has not yet been developed. As orbital populations grow, automated methods for characterising space object behaviour are crucial for space safety.