On the integration of the methods of forming and research of images of objects against the background of noises and interference
https://doi.org/10.32362/2500-316X-2020-8-2-33-42
Abstract
This article discusses the application of complex methods for detecting, recognizing, distinguishing borders and measuring various parameters of noisy, low-contrast, difficult-to-see images of space, air or ground objects. The problem of detecting, recognizing, distinguishing and measuring parameters of objects images (space or air objects, aircraft, ship, ground transport, people, coasts, etc.) is still among the very complex, completely unsolved radio engineering and telecommunications (“connected”) tasks. Currently, infrared (IR) direction finding, optical (laser location) direction finding and radar are used to detect, recognize, distinguish boundaries and measure the parameters of unknown objects against the background of external natural or artificial interference and noise. These methods have their own advantages and disadvantages, which do not always coincide. Therefore, it is of theoretical and practical interest to use them jointly, multifunctionally, or integrationally to identify objects against the background of external natural or deliberate interference and noise. When applying multifunctional methods for detecting, recognizing, distinguishing borders and measuring parameters of noisy, low-contrast images of objects against the background of external natural or artificial interference and noise. Digital processing of objects is mainly used now, which can be defined as a process during which an image is: modified to obtain a new one, which will be more convenient for research by a computer, or by the human eye; it is transformed into a certain set of characteristics and parameters visible and related to the observation area that are automatically analyzed by the computer, or directly presented to a person, taking into account pre-established criteria for developing a final conclusion about the studied object. Typically, the result of digital processing of the received signals is a new image that can be easily converted to analog form and directly observed on a computer display.
About the Authors
M. T. NguyenRussian Federation
Nguyen Minh Tuong, Postgraduate Student, Department of Telecommunications and Telecommunications, Institute of Radio Engineering and Telecommunication Systems
78, Vernadskogo pr., Moscow 119454V. I. Nefedov
Russian Federation
Viktor I. Nefedov, Dr. Sci. (Engineering), Professor, Head of the Department of Communication Systems and Telecommunications, Institute of Radio Engineering and Telecommunication Systems
78, Vernadskogo pr., Moscow 119454N. S. Chekalkin
Russian Federation
Nikolay S. Chekalkin, Cand. Sci., Head of the Department of Mathematics-2 Physics and Technology Institute
78, Vernadskogo pr., Moscow 119454I. V. Kozlovsky
Russian Federation
Igor V. Kozlovsky, Postgraduate Student of the Department of Communications and Telecommunications, Institute of Radio Engineering and Telecommunication Systems
78, Vernadskogo pr., Moscow 119454A. V. Malafeev
Russian Federation
Aleksey V. Malafeev, Postgraduate Student, Institute of Radio Engineering and Telecommunications
78, Vernadskogo pr., Moscow 119454N. A. Mirolyubova
Russian Federation
Natalia A. Mirolyubova, Senior Lecturer, Department of Foreign Languages, Institute of Radio Engineering and Telecommunications
78, Vernadskogo pr., Moscow 119454M. A. Nazarenko
Russian Federation
Maksim A. Nazarenko, Cand. Sci., Assoc., Head of the Department of Quality Management and Certification, Institute of Radio Engineering and Telecommunication Systems
78, Vernadskogo pr., Moscow 119454References
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1. This article discusses the application of complex methods for detecting, recognizing, distinguishing borders and measuring various parameters of noisy, low-contrast, difficult-to-see images of space, air or ground objects. Therefore, it is of theoretical and practical interest to use these methods in a joint, multifunctional, or complex manner to identify objects against the background of external natural or deliberate interference and noise. | |
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For citations:
Nguyen M.T., Nefedov V.I., Chekalkin N.S., Kozlovsky I.V., Malafeev A.V., Mirolyubova N.A., Nazarenko M.A. On the integration of the methods of forming and research of images of objects against the background of noises and interference. Russian Technological Journal. 2020;8(2):33-42. https://doi.org/10.32362/2500-316X-2020-8-2-33-42