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Proceedings Paper

Advanced correlation filter methods for SHARP ATR
Author(s): Pankaj Topiwala; David Casasent; Avinash Nehemiah
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Paper Abstract

A electro-optic (EO) and infrared (IR) automatic target recognition (ATR) system based on the minimum noise and correlation energy (MINACE) distortion invariant filter (DIF) is presented. The system uses exceptionally high resolution EO and IR data obtained from the Shared Reconnaissance Pod (SHARP). Excellent detection results are obtained. Furthermore, the selection of a key parameter - the MINACE filter parameter c - is fully automated using a training and validation set. We also present a set of correlation plane post processing methods to reduce false alarms and improve detection accuracies. The system is evaluated using multi-sensor imagery acquired using the SHARP sensor suite, the detection (PD) and false alarm (PFA) scores are presented for the problem of detecting aircrafts in the high resolution imagery. The scale and orientation of the targets are not assumed to be known, thus making the problem more realistic.

Paper Details

Date Published: 9 April 2007
PDF: 8 pages
Proc. SPIE 6574, Optical Pattern Recognition XVIII, 65740B (9 April 2007); doi: 10.1117/12.719490
Show Author Affiliations
Pankaj Topiwala, FastVDO, LLC (United States)
David Casasent, Carnegie Mellon Univ. (United States)
Avinash Nehemiah, FastVDO, LLC (United States)

Published in SPIE Proceedings Vol. 6574:
Optical Pattern Recognition XVIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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