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Proceedings Paper

Multisensor image cueing (MUSIC)
Author(s): David Rodvold; Tim J. Patterson
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Paper Abstract

There have been many years of research and development in the Automatic Target Recognition (ATR) community. This development has resulted in numerous algorithms to perform target detection automatically. The morphing of the ATR acronym to Aided Target Recognition provides a succinct commentary regarding the success of the automatic target recognition research. Now that the goal is aided recognition, many of the algorithms which were not able to provide autonomous recognition may now provide valuable assistance in cueing a human analyst where to look in the images under consideration. This paper describes the MUSIC system being developed for the US Air Force to provide multisensor image cueing. The tool works across multiple image phenomenologies and fuses the evidence across the set of available imagery. MUSIC is designed to work with a wide variety of sensors and platforms, and provide cueing to an image analyst in an information-rich environment. The paper concentrates on the current integration of algorithms into an extensible infrastructure to allow cueing in multiple image types.

Paper Details

Date Published: 31 July 2002
PDF: 8 pages
Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); doi: 10.1117/12.477600
Show Author Affiliations
David Rodvold, Booz-Allen & Hamilton Inc. (United States)
Tim J. Patterson, Booz-Allen & Hamilton Inc. (United States)

Published in SPIE Proceedings Vol. 4729:
Signal Processing, Sensor Fusion, and Target Recognition XI
Ivan Kadar, Editor(s)

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