Multi-Tier Labeling and Physics-Informed Learning for Orbital Anomaly Detection at Scale
arXiv:2605.09790v1 Announce Type: cross
Abstract: Detecting orbital anomalies, such as maneuvers, atmospheric decay, and attitude upsets, across the rapidly growing population of low-Earth-orbit (LEO) satellites is a prerequisite for collision avoidan…