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Proceedings Paper

Automatic detection and cueing for foliage-concealed targets
Author(s): D. MacDonald; Chung-Fu Chang; Juan Roman; Richard Koesel
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Paper Abstract

Automated target detection and cueing (ATD/C) capabilities are being developed at Loral for the Radar Detection of Concealed Time Critical Targets (RADCON) contract with Wright Laboratory (WL). The ATD/C algorithms use calibrated, fully polarimetric UHF band synthetic-aperture radar data collected by the ERIM/NAWC P-3 radar. A brief overview of data collected for RADCON algorithm development and testing is presented. An outline of the development and evaluation of discriminants used in the context of a Bayesian Neural Network (BNN) detector algorithm is described. The BNN algorithm was demonstrated under a previous WL concealed target detection ATD/C program. These algorithms will be hosted on a near real-time COTS parallel processor as part of a FOPEN airborne system.

Paper Details

Date Published: 10 June 1996
PDF: 11 pages
Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); doi: 10.1117/12.242032
Show Author Affiliations
D. MacDonald, Loral Defense Systems (United States)
Chung-Fu Chang, Loral Defense Systems (United States)
Juan Roman, Air Force Wright Lab. (United States)
Richard Koesel, Air Force Wright Lab. (United States)

Published in SPIE Proceedings Vol. 2757:
Algorithms for Synthetic Aperture Radar Imagery III
Edmund G. Zelnio; Robert J. Douglass, Editor(s)

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