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Optical Engineering

Performance of an automatic target recognizer algorithm against real and two versions of synthetic imagery
Author(s): Clarence P. Walters; Carl W. Hoover; James A. Ratches
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Paper Abstract

An experiment is described in which an automatic target recognizer (ATR) algorithm is tested against real forward-looking infrared imagery and synthetic imagery. The synthetic imagery was generated by two different approaches being developed by the U.S. Army. The purpose of the experiment was to establish quantitatively the relationship between ATR performance on real and on synthetic data. The metrics for comparison are probability of detection, conditional probability of identification, and false-alarm rate.

Paper Details

Date Published: 1 August 2000
PDF: 6 pages
Opt. Eng. 39(8) doi: 10.1117/1.1305538
Published in: Optical Engineering Volume 39, Issue 8
Show Author Affiliations
Clarence P. Walters, U.S. Army Ctr. for Night Vision and Electro-Optics (United States)
Carl W. Hoover, U. S. Army Night Vision and (United States)
James A. Ratches, U.S. Army CECOM Night Vision & Electronic Sensors Directorate (United States)


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