Analyzing the effects of square versus non-square resolutions on automatic target recognition performance

Lee J. Montagnino; Mary L. Cassabaum; Shawn D. Halversen; Christina L. Hebert; Chad T. Rupp; Matthew T. Young; Neilson Ku

doi:10.1117/12.778102

15 April 2008 Analyzing the effects of square versus non-square resolutions on automatic target recognition performance

Lee J. Montagnino, Mary L. Cassabaum, Shawn D. Halversen, Christina L. Hebert, Chad T. Rupp, Matthew T. Young, Neilson Ku

Author Affiliations +

Proceedings Volume 6970, Algorithms for Synthetic Aperture Radar Imagery XV; 69700R (2008) https://doi.org/10.1117/12.778102
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

A multi-stage Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) system is analyzed across images of various pixel areas achieved by both square and non-square resolution. Non-square resolution offers the ability to achieve finer resolution in the range or cross-range direction with a corresponding degradation of resolution in the cross-range or range direction, respectively. The algorithms examined include a standard 2-parameter Constant False Alarm Rate (CFAR) detection stage, a discrimination stage, and a template-based classification stage. Performance for each stage with respect to both pixel area and square versus non-square resolution is shown via cascaded Receiver Operating Characteristic (ROC) curves. The results indicate that, for fixed pixel areas, non-square resolution imagery can achieve statistically similar performance to square pixel resolution imagery in a multi-stage SAR ATR system.

Citation Download Citation

Lee J. Montagnino, Mary L. Cassabaum, Shawn D. Halversen, Christina L. Hebert, Chad T. Rupp, Matthew T. Young, and Neilson Ku "Analyzing the effects of square versus non-square resolutions on automatic target recognition performance", Proc. SPIE 6970, Algorithms for Synthetic Aperture Radar Imagery XV, 69700R (15 April 2008); https://doi.org/10.1117/12.778102

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