Contrasted Statistical Processing Algorithm for Obtaining Improved Target Detection Performances in Infrared Cluttered Environment
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Contrasted statistical processing algorithm for obtaining improved target detection performances in infrared cluttered environment.
Optical Engineering, 39(10):2609--2617, 2000
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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.
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Bibtex Entry
@article{ZalevskyMRR00a,
title = {Contrasted statistical processing algorithm for obtaining improved target detection performances in infrared cluttered environment},
author = {Zeev Zalevsky and David Mendlovic and Ehud Rivlin and Stanley R. Rotman},
year = {2000},
journal = {Optical Engineering},
volume = {39},
number = {10},
pages = {2609--2617},
keywords = {Statistical processing; Automatic target recognition},
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.}
}