Preview

Russian Technological Journal

Advanced search

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. Nguyen
MIREA – Russian Technological University
Russian Federation

Nguyen Minh Tuong, Postgraduate Student, Department of Telecommunications and Telecommunications, Institute of Radio Engineering and Telecommunication Systems

78, Vernadskogo pr., Moscow 119454


V. I. Nefedov
MIREA – Russian Technological University
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 119454


N. S. Chekalkin
MIREA – Russian Technological University
Russian Federation

Nikolay S. Chekalkin, Cand. Sci., Head of the Department of Mathematics-2 Physics and Technology Institute

78, Vernadskogo pr., Moscow 119454


I. V. Kozlovsky
MIREA – Russian Technological University
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 119454


A. V. Malafeev
MIREA – Russian Technological University
Russian Federation

Aleksey V. Malafeev, Postgraduate Student, Institute of Radio Engineering and Telecommunications

78, Vernadskogo pr., Moscow 119454


N. A. Mirolyubova
MIREA – Russian Technological University
Russian Federation

Natalia A. Mirolyubova, Senior Lecturer, Department of Foreign Languages, Institute of Radio Engineering and Telecommunications

78, Vernadskogo pr., Moscow 119454


M. A. Nazarenko
MIREA – Russian Technological University
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 119454


References

1. Zheleznova S.E., Milovanova N.V., Makeenkova N.S., Buzylev F.N., Mamaev O.Yu., Zatolokin S.A. Method and program for processing low-contrast images. In: Procc. of the VII International scientific and technical conference «Fundamental problems of Radioengineering and Device Construction», INTERMATIC – 2010, November 23–27, 2010; (3):254-256. (in Russ.).

2. Lebedʼko E.G., Porfirʼev L.F., Xaitun F.I. Teoriyairaschetimpulʼsnykhitsifrovykhoptiko-elektronnykh system (Theory and calculation of pulsed and digital optoelectronic systems). Leningrad: Mashinostroenie; 1984. 191 p. (in Russ.).

3. Matveev I.N., Protopopov V.V., Troitskii I.N., Ustinov N.D. Lazernaya lokatsiya (Laser location). N.D. Ustinov (Ed.) Moscow: Mashinostroenie; 1984. 272 p. (in Russ.).

4. Lobanov B.S., Sigov A.S., Milovanova N.V., Nefedov V.I., Kushnarev N.A., Popov E.A. Analysis detection and identification of ground and air targets. Naukoemkietekhnologii = Science Intensive Technologies. 2011;12(9):3-9 (in Russ.).

5. Nefedov V.I. Digital image processing. In: Radioelectronics and communications. Coll. Sci. works. Moscow: MIREA Publishing House; 2001. P. 119-133 (in Russ.).

6. Nikolaev A.G., Pertsev S.V. Radioteplolokatsiya (Radiolocation). Moscow: Voenizdat; 1970. 132 p. (in Russ.).

7. Nebabin V.G., Grishin V.K. Metody i tekhnika radiolokatsionnogo raspoznavaniya (Methods and techniques of radar recognition). Moscow: Radio isvyazʼ; 1984. 152 p. (in Russ.).

8. Nefedov V.I., Trefilov D.N., Dementiev A.N., Vetrova V.V., Kolesnikov S.M., Shpak A.V. Integral equations for modeling cylindrical mirror antennas. Rossiiskii tekhnologicheskii zhurnal = Russ. Technolog. J. 2017;5(3):124-129 (in Russ.). https://doi.org/10.32362/2500-316X-2017-5-3-124-129

9. Lebedʼko E.G. Sistemy opticheskoi lokatsii, chast' 2, Uchebnoe posobie dlya VUZov (Optical location systems. V. 2. Textbook for Universities). St. Petersburg: ITMO Publishing House; 2012. 129 p. (in Russ.).

10. Krylov V.I., Rukhadze A.A., Nefedov V.I. On a partial solution of the diffusion equation. Bulletin of the Lebedev Physics Institute. 2017;44(2):36-39. http://dx.doi.org/10.3103/S1068335617020038

11. Cook Ch., Bernfeld M. Radiolokatsionnye signaly. Teoriya i primenenie (Radar signals. Theory and application). V.S. Kelson (Ed.). Moscow: Sovetskoe radio; 1971. 567 p. (in Russ.).

12. Nefedov V.I., Sigov A.S. Obshhaja teorija svjazi (General communication theory). Moscow: Jurajt; 2019. 495 p. (in Russ.). ISBN 978-5-534-01326-9

13. Svistov V.M. Radiolokacionnye signaly i ih obrabotka (Radar signals and their processing). Moscow: Sovetskoe radio; 1977. 448 p. (in Russ.).

14. Bochkarev A.M., Dolgov I.M. Radar stealth aircraft. Zarubezhnaja radiojelektronika = Foreign Radioelectronics 1989;2:3-17 (in Russ.).

15. Benenson L.S. (Ed.). Sverhshirokopolosnye antenny (Ultra-wideband antennas). Moscow: Mir; 1964. 416 p. (in Russ.).


Supplementary files

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.
Subject
Type Исследовательские инструменты
View (70KB)    
Indexing metadata ▾

Review

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

Views: 928


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)