Decentralized Global Satellite Tracking Network: Leveraging Crowd-sourced Astronomical Observations and Machine Learning for Cost Effective Orbital Monitoring
This paper investigates the feasibility of a decentralized alternative where data gathered from a global network of amateur astronomers is classified using a machine learning model that automatically detects satellite trails in telescope imagery, providing position updates at higher frequency and lower costs than conve...