Recognition of marine objects in thermal imaging surveillance and sighting systems of aircraft

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Abstract

The problem of object recognition based on information from measurements of their geometric features in images of optoelectronic systems is considered. The probabilistic characteristics of the measurements are known. A recognition algorithm has been developed using the theory of systems with a random discontinuous structure [1] and the method of two-stage parametric approximation of distributions [2]. The approximation of the predicted probability density by the beta distribution law is applied. The results of the calculation of the algorithm based on the information of the sequence of images obtained in full-scale registrations are presented.

About the authors

V. A. Bukhalev

Moscow Scientific Research Television Institute

Email: abu-sergey@yandex.ru
Russian Federation, Golyanovskaya Str., 7a, build. 1, Moscow, 105094

I. F. Khismatov

Moscow Scientific Research Television Institute

Author for correspondence.
Email: abu-sergey@yandex.ru
Russian Federation, Golyanovskaya Str., 7a, build. 1, Moscow, 105094

A. A. Skrynnikov

The State Scientific Research Institute of Aviation Systems; Moscow Aviation Institute (National Research University)

Email: abu-sergey@yandex.ru
Russian Federation, Viktorenko Str., 7, Moscow, 125167; Volokolamskoe shosse, 4, Moscow, 125993

V. A. Boldinov

The State Scientific Research Institute of Aviation Systems; Moscow Aviation Institute (National Research University)

Email: abu-sergey@yandex.ru
Russian Federation, Viktorenko Str., 7, Moscow, 125167; Volokolamskoe shosse, 4, Moscow, 125993

K. Y. Rozhkov

Moscow Scientific Research Television Institute

Email: abu-sergey@yandex.ru
Russian Federation, Golyanovskaya Str., 7a, build. 1, Moscow, 105094

References

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