Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
| Русский Русский | English English |
 
Главная
23 | 11 | 2024
2024, 03 March

DOI: 10.14489/td.2024.03.pp.042-049

Makhov V. E., Shirobokov V. V., Emelyanov A. V.
METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF THE FUNCTIONING OF OPTICAL-ELECTRONIC SYSTEMS WHEN MONITORING REMOTE OBJECTS
(pp. 42-49)

Abstract. The work proposes an approach to improving the scientific and methodological apparatus for processing information about observed distant objects. The potential possibility of increasing the accuracy of measuring the coordinates of remote objects and obtaining spectrophotometric information through a refined mathematical model of the process of functioning of optical-electronic systems, based on the possibility of restoring the original signal from the observed object by solving the Fredholm integral equation of the 1st kind, is shown. Based on a mathematical model that takes into account the structure of the optical circuit, the influence of noise and external observation conditions, the methodology for assessing the effectiveness of optical-electronic systems when observing remote objects has been improved.

Keywords: remote object, integral equation, continuous wavelet transform, coordinate information, non-coordinate information, spectrophotometric information.

V. E. Makhov, V. V. Shirobokov, A. V. Emelyanov (Mozhaisky Military Space Academy, St. Petersburg, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.  

1. Mahov V., Petrushenko V., Sharapova O. (2023). Visual spectroscopy. Ways of implementation. Elektronnye komponenty, (12), 34 – 38. [in Russian language]
2. Mahov V. E., Shirobokov V. V., Emel'yanov A. V., Petrushenko V. M. (2023). Methodology for evaluating the effectiveness of optoelectronic systems when observing remote small-sized inconspicuous objects. Kontrol'. Diagnostika, 26(11), 16 – 29. [in Russian language] DOI: 10.14489/td.2023.11.pp.016-029
3. Mahov V. E., Shirobokov V. V., Emel'yanov A. V., Potapov A. I. (2022). Investigation of an optoelectronic system for detecting small-sized and inconspicuous objectsunder the influence of geometric noise of a matrix photodetector. Vestnik komp'yuternyh i informatsionnyh tekhnologiy, 19(11), 3 – 13. [in Russian language] DOI: 10.14489/vkit.2022.11.pp.003-013
4. Sizikov V. S., Lavrov A. V. (2018). Robust methods for mathematical and computer processing of images and spectra. Saint Petersburg: Universitet ITMO. [in Russian language]
5. Mahov V., Potapov A., Zakutaev A. (2018). Operating principles of digital light field cameras with microlens arrays. Komponenty i tekhnologii, 226(1), 66 – 72. [in Russian language]
6. Mahov V. E., Petrushenko V. M., Shirobokov V. V. (2021). Possibilities of optical location by means of light field registration. Trudy Voennokosmicheskoy akademii im. A. F. Mozhayskogo, S680, 162 ‒ 171. [in Russian language]
7. Beyts R., Mak-Donnell M. (1989). Image restoration and reconstruction. Moscow: Mir. [in Russian language]
8. Sizikov V. S., Lavrov A. V. (2018). Modern stable mathematical and software methods for reconstructing distorted spectra. Nauchno-tekhnicheskiy vestnik informatsionnyh tekhnologiy, mekhaniki i optiki, 18(6), 911 ‒ 931. [in Russian language]
9. Dobeshi I. (2001). Ten lectures on wavelets. Izhevsk: NITs «Regulyarnaya i haoticheskaya dinamika». [in Russian language]
10. Merzlyakov M. A., Mahov V. E., Avsyukevich D. A. (2018). Methodology for constructing diagnostics of the state of optoelectronic systems. Vestnik Rossiyskogo novogo universiteta. Seriya: Slozhnye sistemy: modeli, analiz i upravlenie, (3), 65 – 73. [in Russian language]
11. Mahov V. E., Potapov A. I. (2013). Using wavelet analysis algorithms to build optical measuring systems. Kontrol'. Diagnostika, (1), 12 – 21. [in Russian language]
12. Mahov V. E., Shirobokov V. V., Emel'yanov A. V. et al. (2023). Optical-electronic system of high spatial resolution when observing remote objects. Kontrol'. Diagnostika, Vol. 26 295(1), 4 – 13. [in Russian language] DOI: 10.14489/td.2023.01.pp.004-013
13. Kolmogorov A. N., Fomin S. V. (2004). Elements of the theory of functions and functional analysis. 7th ed. Moscow: Nauka. [in Russian language]
14. Yudin M. N., Farkov Yu. A., Filatov D. M. (2001). Introduction to wavelet analysis: educational and practical textbook. Moscow: Moskovskaya geologorazvedochnaya akademiya. [in Russian language]
15. Panfilova K. V. (2015). Compensation for linear blur of digital images using the Luce-Richardson method. Anniversary 25th International Conference (GraphiCon2015), 163 – 167. Protvino. [in Russian language]
16. Krasil'nikov N. N. (2011). Digital processing of 2D and 3D images. Saint Petersburg: BHV-Peterburg. [in Russian language]
17. Dremin I. M., Ivanov O. V., Nechitaylo V. A. (2001). Wavelets and their uses. Uspekhi Fizicheskih Nauk, 171(5), 465 – 501. [in Russian language]
18. Krasnov M. L. (1975). Integral equations: an introduction to theory. Moscow: Nauka. [in Russian language]

This article  is available in electronic format (PDF).

The cost of a single article is 500 rubles. (including VAT 20%). After you place an order within a few days, you will receive following documents to your specified e-mail: account on payment and receipt to pay in the bank.

After depositing your payment on our bank account we send you file of the article by e-mail.

To order articles please copy the article doi:

10.14489/td.2024.03.pp.042-049

and fill out the  form  

 

 

 
Rambler's Top100 Яндекс цитирования