Improving a method that rapidly determines the phantomization areas in an image acquired from a space-based radar observation system

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.347659

Keywords:

space radar surveillance system, phantom area, errors of the first and second kind

Abstract

This work examines the process that determines a phantom area in an image acquired from a space radar observation system. The principal hypothesis of the study assumed that improving a method for defining the phantom area could reduce image processing errors of the first and second kind.

The operational method for determining the phantom area in an image acquired from a space radar observation system has been improved; in it, in contrast to known ones,

– a radar image is represented as a two-dimensional array of pixels whose intensity is determined by the amplitude of the radar signal in grayscale;

– the influence of speckle noise is minimized using convolution with a Gaussian filter;

– the image histogram is aligned to increase contrast;

– the boundaries in the image are selected using a gradient operator;

– the area with the selected boundaries with objects of interest is defined as the phantom area in the image acquired from a space radar observation system.

An experimental study was conducted on the operational determination of the phantom area in an image from a space radar surveillance system. Phantom areas on which objects of interest are located are highlighted in an image from a space radar surveillance system. At the final stage of the improved method for boundary selection, the Sobel, Prewitt, and Roberts operators are considered. The choice of the Roberts operator at the final stage for boundary selection allowed for the following:

– a decrease in processing errors of the first kind: by 2.64% compared to the Sobel operator; by 5.66% compared to the Prewitt operator;

– a reduction of processing errors of the second kind: by 2.4% compared to the Sobel operator; by 4.26% compared to the Prewitt operator

Author Biographies

Hennadii Khudov, Ivan Kozhedub Kharkiv National Air Force University

Doctor of Technical Sciences, Professor, Head of Department

Department of Radar Troops Tactic

Oleksandr Makoveichuk, Academician Yuriy Bugay International Scientific and Technical University

Doctor of Technical Sciences, Associate Professor

Department of Computer Sciences and Software Engineering

Irina Khizhnyak, Ivan Kozhedub Kharkiv National Air Force University

Doctor of Technical Sciences

Scientific and Methodological Department for Quality Assurance in Educational Activities and Higher Education

Dmytro Huriev, Ivan Kozhedub Kharkiv National Air Force University

Doctor of Philosophy (PhD), Associate Professor

Department of Contract Reserve Officer Training

Anatoliy Popov, National Aerospace University «Kharkiv Aviation Institute»

Doctor of Technical Sciences, Associate Professor

Department of Aerospace Radioelectronic Systems

Serhii Oliynick, National Aerospace University «Kharkiv Aviation Institute»

Doctor of Technical Sciences, Associate Professor

Department of Aerospace Radioelectronic Systems

Pavlo Malashta, National Aerospace University «Kharkiv Aviation Institute»

PhD Student

Department of Aerospace Radioelectronic Systems

Yaroslav Sydorov, National Aerospace University «Kharkiv Aviation Institute»

PhD Student

Department of Aerospace Radioelectronic Systems

Оlexandr Rohulia, Ivan Kozhedub Kharkiv National Air Force University

Leading Researcher

Research Department of Air Force Science Center

Maksym Adamchuk, National Academy of the National Guard of Ukraine

PhD, Head of Department

Department of State Security and Command Management

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Improving a method that rapidly determines the phantomization areas in an image acquired from a space-based radar observation system

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Published

2025-12-30

How to Cite

Khudov, H., Makoveichuk, O., Khizhnyak, I., Huriev, D., Popov, A., Oliynick, S., Malashta, P., Sydorov, Y., Rohulia О., & Adamchuk, M. (2025). Improving a method that rapidly determines the phantomization areas in an image acquired from a space-based radar observation system. Eastern-European Journal of Enterprise Technologies, 6(9 (138), 67–76. https://doi.org/10.15587/1729-4061.2025.347659

Issue

Vol. 6 No. 9 (138) (2025): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2025 Hennadii Khudov, Oleksandr Makoveichuk, Irina Khizhnyak, Dmytro Huriev, Anatoliy Popov, Serhii Oliynick, Pavlo Malashta, Yaroslav Sydorov, Оlexandr Rohulia, Maksym Adamchuk

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