Confidence area modeling of ATR systems ROC curve points and its application to MSTAR major demo data

Chahira M. Hopper

doi:10.1117/12.396386

24 August 2000 Confidence area modeling of ATR systems ROC curve points and its application to MSTAR major demo data

Chahira M. Hopper

Proceedings Volume 4053, Algorithms for Synthetic Aperture Radar Imagery VII; (2000) https://doi.org/10.1117/12.396386
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

In Automatic Target Recognition (ATR) systems Receiver Operating Characteristics (ROC) curves are used to describe operating characteristics for changing threshold values of two aspects of importance to the users. the two aspects are the ability of the Automatic Target Recognition (ATR) system to detect targets and its ability to reject non-targets that is, not declare false alarms. These two abilities are represented in ATR systems analysis by the probability of detection and the false alarm rate. The problem of characterizing the confidence area for parameters of the probability distribution of ROC points is addressed and applied to the Moving and Stationary Target Acquisition and Recognition (MSTAR) DEMO III data using MATLAB.

Citation Download Citation

Chahira M. Hopper "Confidence area modeling of ATR systems ROC curve points and its application to MSTAR major demo data", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396386

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