Paper
22 May 2015 Enabling direct feedback between initial orbit determination and sensor data processing for detection and tracking of space objects
Brad Sease, Timothy Murphy, Brien Flewelling, Marcus J. Holzinger, Jonathan Black
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brad Sease, Timothy Murphy, Brien Flewelling, Marcus J. Holzinger, and Jonathan Black "Enabling direct feedback between initial orbit determination and sensor data processing for detection and tracking of space objects", Proc. SPIE 9469, Sensors and Systems for Space Applications VIII, 94690M (22 May 2015); https://doi.org/10.1117/12.2181980
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Signal to noise ratio

Particles

Motion models

Image processing

Detection and tracking algorithms

Stars

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