An informative confidence metric for ATR

John A. Richards; Wallace J. Bow Jr.; Brian K. Bray

doi:10.1117/12.487670

12 September 2003 An informative confidence metric for ATR

John A. Richards, Wallace J. Bow Jr., Brian K. Bray

Proceedings Volume 5095, Algorithms for Synthetic Aperture Radar Imagery X; (2003) https://doi.org/10.1117/12.487670
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Automatic or assisted target recognition (ATR) is an important application of synthetic aperture radar (SAR). Most ATR researchers have focused on the core problem of declaration-that is, detection and identification of targets of interest within a SAR image. For ATR declarations to be of maximum value to an image analyst, however, it is essential that each declaration be accompanied by a reliability estimate or confidence metric. Unfortunately, the need for a clear and informative confidence metric for ATR has generally been overlooked or ignored. We propose a framework and methodology for evaluating the confidence in an ATR system's declarations and competing target hypotheses. Our proposed confidence metric is intuitive, informative, and applicable to a broad class of ATRs. We demonstrate that seemingly similar ATRs may differ fundamentally in the ability-or inability-to identify targets with high confidence.

Citation Download Citation

John A. Richards, Wallace J. Bow Jr., and Brian K. Bray "An informative confidence metric for ATR", Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); https://doi.org/10.1117/12.487670

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