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Proceedings Paper

Imaging infrared seeker signal processing overview: image processing, adaptive thresholding, and track processing
Author(s): Paul J. Kemper; John S. DiMarco
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Paper Abstract

Processing images from an infrared imaging seeker for automatic target detection is an extremely complex issue. Many algorithms exist for image feature enhancement, adaptive thresholding, and track file processing. The authors present an overview of imaging signal processing algorithms, including image processing, image segmentation, and track processing with the intent of highlighting the interrelationship between algorithms and the necessity of evaluating seeker algorithms as a whole. The paper also discusses performance metrics for seeker-intercept geometries and the evaluation of metrics in a closed-loop aircraft-intercept simulation.

Paper Details

Date Published: 12 July 1999
PDF: 8 pages
Proc. SPIE 3701, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing X, (12 July 1999); doi: 10.1117/12.352979
Show Author Affiliations
Paul J. Kemper, Georgia Tech Research Institute (United States)
John S. DiMarco, Georgia Tech Research Institute (United States)


Published in SPIE Proceedings Vol. 3701:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing X
Gerald C. Holst, Editor(s)

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