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Optical Engineering

Contrasted statistical processing algorithm for obtaining improved target detection performances in infrared cluttered environment
Author(s): Zeev Zalevsky; David Mendlovic; Ehud Rivlin; Stanley R. Rotman
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Paper Abstract

A contrasted statistical processing approach to obtain improved probabilities of false alarm when performing automatic target detection is presented. The technique is based on analyzing each sector of the image and comparing it with surrounding windows in which the desired statistical property is calculated. The contrast of the statistical property is extracted using the prediction or the prediction-correction equations. The contrast of the statistical property is shown to be a good discriminator of the target from its background allowing the reduction of the detection threshold applied over the stationary region while maintaining a constant false alarm probability.

Paper Details

Date Published: 1 October 2000
PDF: 9 pages
Opt. Eng. 39(10) doi: 10.1117/1.1269062
Published in: Optical Engineering Volume 39, Issue 10
Show Author Affiliations
Zeev Zalevsky, IDF (Israel)
David Mendlovic, Tel Aviv Univ. (Israel)
Ehud Rivlin, Univ. of Maryland/College Park (United States)
Stanley R. Rotman, Ben-Gurion Univ. of the Negev (Israel)

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