Automatic detection and cueing for foliage-concealed targets

D. MacDonald; Chung-Fu Chang; Juan Roman; Richard Koesel

doi:10.1117/12.242032

10 June 1996 Automatic detection and cueing for foliage-concealed targets

D. MacDonald, Chung-Fu Chang, Juan Roman, Richard Koesel

Proceedings Volume 2757, Algorithms for Synthetic Aperture Radar Imagery III; (1996) https://doi.org/10.1117/12.242032
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

D. MacDonald, Chung-Fu Chang, Juan Roman, and Richard Koesel "Automatic detection and cueing for foliage-concealed targets", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); https://doi.org/10.1117/12.242032

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