27 August 2001 Analytic performance bounds on SAR-image target recognition using physics-based signatures
Author Affiliations +
Abstract
In recent years, synthetic aperture radars (SARs) have been used to detect man-made targets and to distinguish them from naturally occurring background. This paper continues development of a fundamental, physics-based approach to assessing the performance of SAR-based automatic target recognition (ATR) systems. A major thrust of this effort is to quantify the performance advantages that accrue when the recognition processor exploits the detailed signatures of the target's component reflectors, e.g., their specularity, their polarization properties, etc. Its purpose is to assess models developed from the electromagnetic scattering theory. New lower and upper bounds on the probability of correct classification (PCC) are developed for targets composed of a constellation of geometrically-simple reflectors. The performance discrepancy of a conventiional full-resolution processor with respect to an optimal whitening-filter processor is discussed.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Choongyeun Cho, Chen-Pang Yeang, Jeffrey H. Shapiro, "Analytic performance bounds on SAR-image target recognition using physics-based signatures", Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); doi: 10.1117/12.438236; https://doi.org/10.1117/12.438236
PROCEEDINGS
13 PAGES


SHARE
KEYWORDS
Reflectors

Target detection

Sensors

Radar

Synthetic aperture radar

Target recognition

Image processing

RELATED CONTENT

Very fast SAR detection
Proceedings of SPIE (June 14 1996)
Battlespace exploitation vision
Proceedings of SPIE (June 26 1997)
End-to end performance of the TESAR ATR system
Proceedings of SPIE (August 24 2000)

Back to Top