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Proceedings Paper

Navy theater ballistic missile defense boost multispectral discrimination requirements for low-resolution detection, classification, and high-resolution aimpoint selection
Author(s): Clifford A. Paiva
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Paper Abstract

The U.S. Navy has been requested to provide insightful responses to questions regarding low and high resolution target discrimination and target classification capabilities for short and medium range ballistic missiles (SRBM/MRBM). Specific targets studied for this paper include the solid booster and the associated attitude control system (ACS) liquid divert thruster systems. Discriminants selected include booster and ACS separation debris, as well as fuel vent phenomena. Debris and vent cloud containment and elimination through Gaussian suppression techniques have been implemented for low resolution assessment for target detection and tracking. Target gradient edge intensities were extracted for aimpoint selection and will be added to the pattern referencing library database at NSWC. The results of this study indicate an increasing requirement for advanced image processing on the focal plane array of a generic LEAP (light exo-atmospheric projectile) type kill kinetic vehicle (KKV) in order to implement effective target and aimpoint detection/tracking correlation matching routines.

Paper Details

Date Published: 25 March 1998
PDF: 19 pages
Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998);
Show Author Affiliations
Clifford A. Paiva, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 3390:
Applications and Science of Computational Intelligence
Steven K. Rogers; David B. Fogel; James C. Bezdek; Bruno Bosacchi, Editor(s)

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