Space Object Detection in Images Using Matched Filter Bank and Bayesian Update

作者：Murphy Timothy S^*; Holzinger Marcus J; Flewelling Brien

来源：Journal of Guidance, Control, and Dynamics, 2017, 40(3): 497-509.

DOI：10.2514/1.G001934

Electrooptical sensors, when used to track space objects, are often used to produce detections of space objects for some orbit determination scheme. Instead, this paper proposes a series of methods to use electrooptical images directly in orbit determination. This work uses the signal-to-noise ratio optimal image filter, called a matched filter, to search for partially known space objects. By defining a metric for measuring matched filter template similarity, a bank of matched filters is efficiently defined by partitioning the prior knowledge set. Once partitioned sets are known, the matched filter bank can be localized to regions of the sky. A method for hypothesis testing the result of a matched filter for a space object is developed. Finally, a framework for orbit determination based on the matched filter result is developed. Simulation shows that the analytic results enable a better framework for implementing matched filters for low-signal-to-noise ratio object detection.

• 出版日期2017-3