Brien Flewelling, AFRL/RVSVC, Timothy S. Murphy, Georgia Institute of Technology, Andrew P. Rhodes, West Virginia University, Marcus J. Holzinger, Georgia Institute of Technology, John A. Christian, West Virginia University
Marcus J. Holzinger x, John A. Christian
Keywords: Scale-Space, Spatio-Temporal, photometry, tracking
Abstract:
This paper will investigate the application of Scale-Space Theory to 1-Dimensional light curve signals generated by reducing imagery sequences taken from telescopes tasked in various modes. As an observed object with a variable light curve is viewed from a sensor achieving a perfect rate track mode, there is a trade between the time fidelity of the reconstructed signal and integration time required to make accurate detections. As the tracking error increases, a sensor in a step-stare con-ops for example may trade spatial samples for intensity information as a function of time. This is commonly seen in streak observations of tumbling resident space objects. The method presented here will demonstrate how consistent light curves with maximum time resolution can be generated from observation sequences with variable tracking error, and sensor integration times. Additionally, the sparse representation of these signals using 1-D Scale-Space feature trees will be investigated as a means for rapid correlation of light-curves against a large database. The proposed rapid correlations could be used to identify variable operating modes of a known object, or to identify an object as a member of a database.
Date of Conference: September 15-18, 2015
Track: Non-Resolved Object Characterization