Contrasted statistical processing algorithm for obtaining improved target detection performances in infrared cluttered environment

Zeev Zalevsky; David Mendlovic; Ehud Rivlin; Stanley R. Rotman

doi:10.1117/1.1269062

1 October 2000 Contrasted statistical processing algorithm for obtaining improved target detection performances in infrared cluttered environment

Zeev Zalevsky, David Mendlovic, Ehud Rivlin, Stanley R. Rotman

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Optical Engineering, Vol. 39, Issue 10, (October 2000). https://doi.org/10.1117/1.1269062

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.

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Zeev Zalevsky, David Mendlovic, Ehud Rivlin, and Stanley R. Rotman "Contrasted statistical processing algorithm for obtaining improved target detection performances in infrared cluttered environment," Optical Engineering 39(10), (1 October 2000). https://doi.org/10.1117/1.1269062

Published: 1 October 2000

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