Algorithms for Automated Characterization of Three-Axis Stabilized GEOs using Non-Resolved Optical Observations.

摘要

Non-resolved optical observations of satellites have been known to supply researchers with valuable information about satellite status. Until recently most non-resolved analysis techniques have required an expert human in the loop in order to attribute observed information to satellite features. We are designing algorithms that automate the process of rapidly characterizing satellites from non-resolved optical data of 3-axis stabilized geostationary satellites. We will present background information on corrections for lighting conditions that vary as a function of the Earth s season, and permit automated satellite characterization algorithms. Much of this information is empirical, based on a GEO-Sat Color Photometry Catalog (GCPC), for which collection began in 2004 and continues into the present.