Keywords: aerospace monitoring; informatization; onboard system; redundancy; video information resource


The Earth's aerospace monitoring (ASM) systems use state-of-the-art integrated information technologies that include radio-based detection and surveillance systems using telecommunications. One of the main tasks of ASM systems is to increase the efficiency of decision-making necessary for the timely prevention, detection, localization and elimination of crisis situations and their probable consequences. Modern conditions impose stricter requirements for efficiency, reliability and quality of the provided video data. To ensure compliance with the requirements, it is necessary to provide the appropriate capabilities of the onboard equipment. On the basis of the existing information and communication systems it is necessary to carry out: continuous or periodic assessment of a condition of objects of supervision and control; continuous (operational) collection, reception, transmission, processing, analysis and display of information resources. It is proposed to use UAVs (unmanned aerial vehicles) as a means to perform ASM tasks. The time of organizing communication sessions and delivery of information should vary from a few seconds to 2.5 hours. Untimely processing and delivery of a specific information resource in the management process leads to its obsolescence or loss of relevance, which contributes to erroneous decisions. One way to reduce time is to encode the data. To do this, it is proposed to use video compression algorithms. However, based on the analysis of the possibility of modern methods of video information compression, taking into account the specifics of the onboard equipment of the UAV, the coding problem is not completely solved. The research results show the expediency of using an improved method of video information compression to reduce the computing resources of the software and hardware complex of the onboard UAV equipment and to ensure the requirements for efficiency and reliability of data in modern threats to ASM systems as a whole.


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Author Biographies

Serhii Yevseiev, Simon Kuznets Kharkiv National University of Economics

Department of Cybersecurity and Information Technology

Ahmed Abdalla, Flight Academy of the National Aviation University

Department of Flight Operations

Serhii Osiievskyi , Ivan Kozhedub Kharkiv National Air Force University

Department of Mathematical and Software Control Systems

Volodymyr Larin, Ivan Kozhedub Kharkiv National Air Force University

Department of Mathematical and Software Control Systems

Mykhailo Lytvynenko , Ivan Kozhedub Kharkiv National Air Force University

Department of Mathematical and Software Control Systems


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