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

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

doi:10.1117/12.365824

18 October 1999 Contrasted statistical processing algorithm for obtaining improved target detection performances in an IR cluttered environment

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

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Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365824
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

This paper presents a contrasted statistical processing approach to obtain improved probabilities of false alarm when performing automatic target detection. The technique is based upon 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 an IR cluttered environment", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365824

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KEYWORDS

Image processing

Target detection

Infrared imaging

Infrared radiation

Detection and tracking algorithms

Environmental sensing

Computer simulations

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