Optimizing the signal processing of detector arrays, using the window method

Fedoseev, V. I.

doi:10.1364/jot.77.000272

J. Opt. Technol.

2010

DOI: 10.1364/jot.77.000272

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Optimizing the signal processing of detector arrays, using the window method

V. I. Fedoseev¹

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2014

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“…To solve the problem of detecting such signals, it is proposed to use Poisson distribution conditions-the likelihood functions. 6 An adaptive algorithm for distinguishing and detecting airborne objects, when a cloudy sky with brightness gradients described by a regression model can be regarded as the background component, is given in Ref. 7.…”

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confidence: 99%

Adaptive method and algorithm for detecting low-contrast objects with an optoelectronic device

Katulev¹,

Kolonskov²,

Khramichev³

et al. 2014

J. Opt. Technol.

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This paper proposes an adaptive method of detecting objects on the image of an optoelectronic device. The method is based on reconstructing a reference signal-image and forming a statistic in the form of the maximum eigenvalue of the selective correlation matrix for making a decision concerning the detection of an object, using the Neyman-Pearson criterion. The information contained in the images recorded is used when there are no a priori data concerning the background-target situation. A block diagram of the algorithm is given, along with the results of estimating the efficiency index for detecting objects under various conditions.

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mentioning

confidence: 99%

Adaptive method and algorithm for detecting low-contrast objects with an optoelectronic device

Katulev¹,

Kolonskov²,

Khramichev³

et al. 2014

J. Opt. Technol.

View full text Add to dashboard Cite

show abstract

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Optimizing the signal processing of detector arrays, using the window method

Cited by 1 publication

References 0 publications

Adaptive method and algorithm for detecting low-contrast objects with an optoelectronic device

Adaptive method and algorithm for detecting low-contrast objects with an optoelectronic device

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