Optimal discriminating multispectral target detection and optical correlation target tracking

Andrew A. Kostrzewski; Gajendra Savant; Paul Shnitser; Michael Piliavin; Sergey Sandomirsky; Anatoly A. Vasiliev; David P. Casasent

doi:10.1117/12.518210

26 September 2003 Optimal discriminating multispectral target detection and optical correlation target tracking

Andrew A. Kostrzewski, Gajendra Savant, Paul Shnitser, Michael Piliavin, Sergey Sandomirsky, Anatoly A. Vasiliev, David P. Casasent

Author Affiliations +

Proceedings Volume 5134, Current Research on Holography and Interferometric Methods for Measurement of Object Properties: 2000-2002; (2003) https://doi.org/10.1117/12.518210
Event: Holography and Interferometric Methods for Measurement of Object Properties: 2000-2002, 2000, Unknown, United States

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.

Citation Download Citation

Andrew A. Kostrzewski, Gajendra Savant, Paul Shnitser, Michael Piliavin, Sergey Sandomirsky, Anatoly A. Vasiliev, and David P. Casasent "Optimal discriminating multispectral target detection and optical correlation target tracking", Proc. SPIE 5134, Current Research on Holography and Interferometric Methods for Measurement of Object Properties: 2000-2002, (26 September 2003); https://doi.org/10.1117/12.518210

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