Mark Poole, ExoAnalytic Solutions, Dr. Jeremy Murray-Krezan, AFRL/RV
Keywords: SSA, object characterization, photometry, small telescope, autonomy
Abstract:
Timely and effective space object (SO) characterization is a challenge, and requires advanced data processing techniques. Detection and identification of signature changes due to potential SO changes (e.g., stability, material aging) is a critical capability that is growing in importance. Unfortunately, better knowledge of more objects requires an infeasible investment of current technologies, or a change in collection methodology. A combination of large datasets and simulation technologies can help. Space object stability, methods for space object correlation, and material characterization are a few of the techniques explored via a combination of simulations and large datasets. This paper describes an approach for automating characterization techniques for RSOs using large photometric datasets from ExoAnalytics small telescope network.
Date of Conference: September 15-18, 2015
Track: Poster