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Proceedings Paper

Fundamental processing techniques for automatic target detection
Author(s): Gerald N. Gilbert
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Paper Abstract

We present a fundamental approach to the processing of signals for the detection of targets immersed in clutter in any type of digitized image (synthetic aperture radar, optical, acoustical, etc.), analogous to the standard theory of target detection for pulsed radars, with applications to aided target recognition (ATR). Expanding upon recent results of DiPietro and Fante, we derive a new ATR detection probability function analogous to the Swerling Type-4 detection probability function of pulsed-radar detection theory. We carry out a comparative theoretical and numerical analysis of the single- look and single-pulse probabilities of detection of targets in the general ATR and pulsed-radar cases, and also provide a comparative analysis of the noncoherent integration of multiple samples of image data in the ATR and pulsed-radar cases. We derive expressions for the binary integration of all single-look ATR detection probabilities, and perform a comparative theoretical and numerical analysis of the performance characteristics of binary integration versus noncoherent integration. A detailed numerical analysis of the optimization of parameters for peak ATR binary integration performance in low-resolution and/or low signal-to-clutter ratio images is performed, and a comparative analysis of optimization of parameters for the pulsed-radar theory in low signal-to-noise ratio environments is carried out.

Paper Details

Date Published: 24 August 1999
PDF: 14 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359978
Show Author Affiliations
Gerald N. Gilbert, MITRE Corp. (United States)

Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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