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Proceedings Paper

Adaptive matched filter spatial detection performance on standard imagery from a wideband VHF/UHF SAR
Author(s): Mark R. Allen; Seth A. Phillips; Dino J. Sofianos
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Paper Abstract

The adaptive matched filter was implemented as a spatial detector for amplitude-only or complex images, and applied to an image formed by standard narrowband means from a wide angle, wideband radar. Direct performance comparisons were made between different implementations and various matched and mismatched cases by using a novel approach to generate ROC curves parametrically. For perfectly matched cases, performance using imaged targets was found to be significantly lower than potential performance of artificial targets whose features differed from the background. Incremental gain due to whitening the background was also found to be small, indicating little background spatial correlation. It is conjectured that the relatively featureless behavior in both targets and background is due to the image formation process, since this technique averages together all wide angle, wideband information. For mismatched cases where the signature was unknown, the amplitude detector losses were approximately equal to whatever gain over noncoherent integration that matching provided. However, the complex detector was generally very sensitive to unknown information, especially phase, and produced much larger losses. Whitening under these mismatched conditions produced further losses. Detector choice thus depends primarily on how reproducible target signatures are, especially if phase is used, and the subsequent number of stored signatures necessary to account for various imaging aspect angles.

Paper Details

Date Published: 22 July 1994
PDF: 6 pages
Proc. SPIE 2217, Aerial Surveillance Sensing Including Obscured and Underground Object Detection, (22 July 1994); doi: 10.1117/12.179938
Show Author Affiliations
Mark R. Allen, Science Applications International Corp. (United States)
Seth A. Phillips, Science Applications International Corp. (United States)
Dino J. Sofianos, Science Applications International Corp. (United States)

Published in SPIE Proceedings Vol. 2217:
Aerial Surveillance Sensing Including Obscured and Underground Object Detection
Ivan Cindrich; Nancy DelGrande; Sankaran Gowrinathan; Peter B. Johnson; James F. Shanley, Editor(s)

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