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Proceedings Paper

Enabling direct feedback between initial orbit determination and sensor data processing for detection and tracking of space objects
Author(s): Brad Sease; Timothy Murphy; Brien Flewelling; Marcus J. Holzinger; Jonathan Black
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Paper Abstract

This paper presents an automatic RSO detection and tracking scheme operating at the optical sensor system level. The software presented is a pipeline for processing ground or space-based imagery built from several subalgorithms which processes raw or calibrated imagery, detects and discriminates non-star objects, and associates observations over time. An orbit determination routine uses an admissible region to start off an unscented particle filter. This preliminary orbit estimate allows prediction of the appearance of the object in the next frame. A matched filter uses this imagery to provide feedback to the initial detection and tracking process.

Paper Details

Date Published: 22 May 2015
PDF: 15 pages
Proc. SPIE 9469, Sensors and Systems for Space Applications VIII, 94690M (22 May 2015); doi: 10.1117/12.2181980
Show Author Affiliations
Brad Sease, Virginia Polytechnic Institute (United States)
Timothy Murphy, Georgia Institute of Technology (United States)
Brien Flewelling, Air Force Research Lab. (United States)
Marcus J. Holzinger, Georgia Institute of Technology (United States)
Jonathan Black, Virginia Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 9469:
Sensors and Systems for Space Applications VIII
Khanh D. Pham; Genshe Chen, Editor(s)

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