Efficient end-to-end feature-based system for SAR ATR

Quoc Henry Pham; Timothy Myers Brosnan; Mark J. T. Smith; Russell M. Mersereau

doi:10.1117/12.321855

15 September 1998 Efficient end-to-end feature-based system for SAR ATR

Quoc Henry Pham, Timothy Myers Brosnan, Mark J. T. Smith, Russell M. Mersereau

Proceedings Volume 3370, Algorithms for Synthetic Aperture Radar Imagery V; (1998) https://doi.org/10.1117/12.321855
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

In this paper we discuss an end-to-end system for SAR automatic target recognition (ATR), giving particular emphasis to the discrimination and classification stages. The ATR system employs a three sequential stage approach to reduce complexity: a detection stage, a discrimination stage, and a classification stage. Details of the detection stage were presented previously. The target discrimination and classification methods, which we present here, involve extracting rotationally and translationally invariant features from the Radon transform of target chips. The methods are applied in both isolated and complete end-to-end systems on the TESAR baseline SAR database distributed by the U.S. Army Research Laboratory and in isolation using the public MSTAR database. The performance results on these SAR datasets are presented.

Citation Download Citation

Quoc Henry Pham, Timothy Myers Brosnan, Mark J. T. Smith, and Russell M. Mersereau "Efficient end-to-end feature-based system for SAR ATR", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); https://doi.org/10.1117/12.321855

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