Synthetic aperture radar quantized grayscale reference automatic target recognition algorithm

Christopher Paulson; Jervon Wilson; Travious Lewis

doi:10.1117/12.2318551

27 April 2018 Synthetic aperture radar quantized grayscale reference automatic target recognition algorithm

Christopher Paulson, Jervon Wilson, Travious Lewis

Proceedings Volume 10647, Algorithms for Synthetic Aperture Radar Imagery XXV; 106470P (2018) https://doi.org/10.1117/12.2318551
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

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.

Citation Download Citation

Christopher Paulson, Jervon Wilson, and Travious Lewis "Synthetic aperture radar quantized grayscale reference automatic target recognition algorithm", Proc. SPIE 10647, Algorithms for Synthetic Aperture Radar Imagery XXV, 106470P (27 April 2018); https://doi.org/10.1117/12.2318551

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