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Proceedings Paper

Confidence area modeling of ATR systems ROC curve points and its application to MSTAR major demo data
Author(s): Chahira M. Hopper
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Paper 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.

Paper Details

Date Published: 24 August 2000
PDF: 9 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396386
Show Author Affiliations
Chahira M. Hopper, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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