CHARACTERISTICS OF AUTOMATIC DETECTORS UNOBTRUSIVE DYNAMIC OBJECTS ON LOW-CONTRAST IMAGES GENERATED BY OPTOELECTRONIC DEVICE IN COMPLEX BACKGROUND CONDITIONS

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Authors

V.K. KEMAYKIN, A.Yu. KOZLOV, A.A. KHRAMICHEV

Abstract

The article proposes an automatic adaptive detector that implements the locally most powerful unbiased (LNMN) criterion and its comparison with the detector according to the Neumann-Pearson criterion for extremely difficult observation conditions for optoelectronic devices. The performance characteristics of adaptive detection of low-contrast images of dynamic objects in complex background conditions are constructed. Calculated estimates confirming the superiority of the LNMN rule over the classical Neumann-Pearson rule are obtained.

Keywords

оптико-электронный прибор, динамический объект, изображение, фоноцелевой кадр, критерии и характеристики обнаружения.