Browsing by Author "Kuzmenko A."

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    CORRELATION-EXTREME NAVIGATION SYSTEM BASED ON MORPHOLOGICAL ANALYSIS
    (ПОЛІТ.Сучасні проблеми науки.Гуманітарні науки:тези доповідей XVII Міжнародної науково-практичної конференції молодих учених і студентів:[y 2-x т.].Т.2(м.Київ,4-7 квітня 2017 р.)/[ред.кол.:В.М.Ісаєнко та ін.]; Національний авіаційний університет.-К.:НАУ,2017.-374 с., 2017-04) Kuzmenko A.
    Therefore, advantage of morphological method is associated with the possibility of improving the integration of image registration conditions. Introduced by morphological analysis the notion of «form» significantly enriches the radiometric properties of reference image, making possible to build a more robust detection algorithms.
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    Correlation-extreme navigation system based on morphological analysis
    (2017-04-04) Kuzmenko A.
    Relevance of research topic is caused by the fact that the comparison of images based only on the brightness characteristics is not sufficient sometimes, but morphological comparison considers also geometric characteristics. Purpose of research is to disclose the principle of work and efficiency of Correlation-Extreme Navigation System (CENS) based on morphological analysis. Unmanned Aerial Vehicles (UAVs) always contains Global Positioning System (GPS) and Inertial Measurement Unit (IMU). It usually has the ability to perform automatic navigation along planned waypoints. Nevertheless, if the GPS signal becomes unavailable, the state estimation solution provided by data from IMU alone drifts in time and will be unusable. Correlation-extreme navigation is one of alternative solution in such case and may be additional source of data fusion in the integrated navigation complex.