9 April 2007 Advanced correlation filter methods for SHARP ATR
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Proceedings Volume 6574, Optical Pattern Recognition XVIII; 65740B (2007); doi: 10.1117/12.719490
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States
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.
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Pankaj Topiwala, David Casasent, Avinash Nehemiah, "Advanced correlation filter methods for SHARP ATR", Proc. SPIE 6574, Optical Pattern Recognition XVIII, 65740B (9 April 2007); doi: 10.1117/12.719490; http://dx.doi.org/10.1117/12.719490
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KEYWORDS
Image filtering

Target detection

Automatic target recognition

Distortion

Image processing

Optical filters

Sensors

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