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Proceedings Paper

Optimal discriminating multispectral target detection and optical correlation target tracking
Author(s): Andrew A. Kostrzewski; Gajendra Savant; Paul Shnitser; Michael Piliavin; Sergey Sandomirsky; Anatoly A. Vasiliev; David P. Casasent
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Paper Abstract

This paper presents feasibility studies of a multispectral moving target detection (MTD) system designed to detect and track low-signature moving targets. The system performs multispectral detection based on linear and nonlinear optimal discriminating features (ODF) for low-signature target detection and correlation tracking of slowly moving targets in clutter. Multispectral detection was tested against multispectral data from an acousto-optic tunable filter in the visible and near infrared. Optical Joint Transform Correlator for target tracking was designed and manufactured. The feasibility of correlation target tracking was demonstrated with actual Army MICOM FLIR long wavelength infrared (LWIR: 8 to 12 μm) images of moving vehicles and tanks in clutter.

Paper Details

Date Published: 26 September 2003
PDF: 12 pages
Proc. SPIE 5134, Current Research on Holography and Interferometric Methods for Measurement of Object Properties: 2000-2002, (26 September 2003); doi: 10.1117/12.518210
Show Author Affiliations
Andrew A. Kostrzewski, Physical Optics Corp. (United States)
Gajendra Savant, Physical Optics Corp. (United States)
Paul Shnitser, Physical Optics Corp. (United States)
Michael Piliavin, Physical Optics Corp. (United States)
Sergey Sandomirsky, Physical Optics Corp. (United States)
Anatoly A. Vasiliev, DigiLens, Inc. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 5134:
Current Research on Holography and Interferometric Methods for Measurement of Object Properties: 2000-2002
Yuri N. Zakharov, Editor(s)

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