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Proceedings Paper

Synthetic aperture radar quantized grayscale reference automatic target recognition algorithm
Author(s): Christopher Paulson; Jervon Wilson; Travious Lewis
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Paper Abstract

This paper presents a Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) baseline algorithm that uses a quantized grayscale matching (QGM) algorithm.10 QGM is a classifier that uses a template matching approach to identify the target, has been throughly tested as part of the MSTAR program,10 and has shown to be robust to fluctuation in the absolute amplitude. A performance study is conducted to show how translation and obscuration/shadowing affects the performance of the QGM algorithm for SAR synthetic data at multiple different resolutions. This QGM implementation along with the synthetic data generation capability allows researchers to test the susceptibility of QGM to different operating conditions and, in addition, provides a baseline algorithm for comparison.

Paper Details

Date Published: 27 April 2018
PDF: 13 pages
Proc. SPIE 10647, Algorithms for Synthetic Aperture Radar Imagery XXV, 106470P (27 April 2018); doi: 10.1117/12.2318551
Show Author Affiliations
Christopher Paulson, Air Force Research Lab. (United States)
Jervon Wilson, Univ. of Cincinnati (United States)
Travious Lewis, Rose Hulman Institute of Technology (United States)

Published in SPIE Proceedings Vol. 10647:
Algorithms for Synthetic Aperture Radar Imagery XXV
Edmund Zelnio; Frederick D. Garber, Editor(s)

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