10.14489/td.2024.10.pp.004-015

2024, 10 October

DOI: 10.14489/td.2024.10.pp.004-015

Makhov V. E., Shirobokov V. V., Emelyanov A. V., Zakutaev A. A.
STUDY OF PLENOPTICAL REGISTRATION OF LOW-CONTRAST DISTANT OBJECTS
(pp. 4-15)

Abstract. The features of detection of subtle objects by plenoptic optical-electronic systems (POES) are considered. Schemes and algorithms for generating POES images are presented to obtain information about subtle objects, taking into account the specifics of POES operation. The possibility of increasing the probability of detecting subtle objects is theoretically justified, which is confirmed by calculating ray tracing in POES. In the process of observing subtle, low-contrast samples of light objects on an external light background, the main provisions of the theoretical justification were experimentally confirmed. Taking into account the features of objects and the background, a set of algorithms for the analysis and detection of subtle objects has been formed, on the basis of which a methodology for their application and assessment of the reliability of detection of distant subtle objects has been developed. A comparative analysis of the results of detecting subtle objects by various OES is presented. The area of practical application of registration of POES of subtle objects is determined, as well as the degree of influence of various external and internal factors on the process of registration of POES of subtle objects of observation.

Keywords: optical-electronic system (OES), plenoptic OES (POES), subtle distant object, Depth of Field (DOP), algorithms for obtaining coordinate information, continuous wavelet transform (CWT), multiple-scale analysis (MRA), National Instrumenta (NI), Virtual Instrument (VI).

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V. E. Makhov, V. V. Shirobokov, A. V. Emelyanov, A. A. Zakutaev (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. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

+ - References Click to collapse

1. Ng R. (2006). Digital Light Field Photography: A Dissertation Submitted to the Department of Computer Science and the Committee Degree of Doctor of Philosophy.
2. Pyt'ev Yu. P., Chulichkov A. I. (2010). Methods of morphological analysis of images. Moscow: Fizmatlit. [in Russian language]
3. Shanin V. I., Shanin O. V. (2000). Methods of optical matched filtering in precision instrumentation. Zhurnal radioelektroniki, (6). [in Russian language]
4. Makhov V. E., Potapov A. I., Zakutaev A. A. (2018). Operating principles of digital light field cameras with microlens arrays. Komponenty i tekhnologii, 226(1), 66 ‒ 72. [in Russian language]
5. Makhov V. E., Petrushenko V. M., Shirobokov V. V. (2021). Possibilities of optical location by means of light field registration. Trudy Voenno-kosmicheskoy akademii im. A. F. Mozhayskogo, S680, 162 ‒ 171. [in Russian language]
6. 3D Light Field Camera Technology. Copyright © 2013 by Raytrix GmbH. Retrieved from http://www.isolutions.com.sg/Raytrix.pdf (Accessed: 01.02.2021).
7. Kučera Jan. (2014). Computational Photography of Light-Field camera and Application to Panoramic Photography: the Master Thesis: Study Programme: Computer Science, Software Systems Specialization: Computer Graphics. Prague.
8. Makhov V. E., Potapov A. I., Shaldaev S. E. (2017). Control of the image function optoelectronic system conversion method in image contrast. Kontrol'. Diagnostika, (7), 12 ‒ 24. [in Russian language]. DOI: 10.14489/td.2017.07.pp.012-024
9. Makhov V. E., Shirobokov V. V., Zakutaev A. A. et al. (2021). A method for detecting and determining the characteristics of targets based on recording and processing the path of rays from objects in the observed space and a device for its implementation. Patent for invention No. RU 2760845 C1. [in Russian language]
10. Gruzman I. S., Kirichuk V. S., Kirichuk V. P. et al. (2000). Digital image processing in information systems: a textbook for universities. Novosibirsk: Izdatel'stvo NGTU. [in Russian language]
11. Vest Ch. (1982). Holographic interferometry. Moscow: Mir. [in Russian language]
12. Poleshchuk A. G., Malyshev A. I., KHarisov A. A, Cherkashin V. V. (1998). Diffraction filters for controlling the radiation of high-power lasers. Avtometriya, (6), 38 – 46. [in Russian language]
13. Allington-Smith J. (2006). Basic Principles of Integral Field Spectroscopy. New Astronomy Reviews, 50(4‒5), 244 ‒ 251. DOI: 10.1016/j.newar.2006.02.024
14. Mahov V. E., Shirobokov V. V., Zakutaev A. A. et al. A method for obtaining four-dimensional brightness-spectral profiles of remote objects and a device for its implementation. Ru Patent No. Ru 2822085C1. Russian Federation. [in Russian language].
15. Bok Y., Jeon H.-G., Kweon I. S. (2017). Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(2), 287 – 300.
16. Semenova O. R. (2022). Matrix optics. Perm': Permskiy gosudarstvenniy natsional'niy issledovatel'skiy universitet. [in Russian language]
17. Dansereau D. G., Pizarro O., Williams S. B. (2013). Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras. IEEE Conference on Computer Vision and Pattern Recognition, 1027 – 1034.
18. Makhov V. E., Potapov A. I. (2018). Selection of information fields forms and defects of the surface by the method of registration light field. Kontrol'. Diagnostika, (3), 28 ‒ 38. [in Russian language]. DOI: 10.14489/td.2018.03.pp.028-038
19. Zhilichkin A. G., Kuchumov A. A., Chirov D. S. (2020). On the probability of deciphering three-sleeper worlds. Naukoemkie tekhnologii v kosmicheskikh issledovaniyakh Zemli, 12(3), 4 – 12. [in Russian language]. DOI: 10.36724/2409-5419-2020-12-3-4-12
20. Gorbachyov A. A., Korotaev V. V., Yaryshev S. N. (2013). Solid-state matrix photoconverters and cameras based on them. Saint Petersburg: NIU ITMO. [in Russian language]
21. Pustynskiy I. N., Zaytseva E. V. (2009). Towards the calculation of image illumination and the number of signal electrons in a television sensor on a CCD matrix. Doklady TUSURa, 20(2), 5 – 10. [in Russian language]
22. Rabosh E.V., Anikushin D. A., Petrov N. V. et al. (2019). Construction of a 3D model of a volumetric reflection hologram image using the photogrammetry method. Nauchno-tekhnicheskiy vestnik informatsionnykh technologiy, mekhaniki i optiki, 19(6), 1013 – 1021. [in Russian language]
23. Realtime Plenoptic Metrology Software. Retrieved from https://raytrix.de/downloads/ (Accessed: 01.02.2021)
24. Makhov V. E., Petrushenko V. M., Emel'yanov A. V. et al. (2021). Technology for developing software algorithms for optical-electronic surveillance systems for remote objects. Vestnik komp'yuternykh i informatsionnykh tekhnologiy, Vol. 18 208(10), 10 ‒ 21. [in Russian language]
25. Makhov V. E., Shirobokov V. V., Emel'yanov A. V., Potapov A. I. (2022). Investigation of algorithms of detecting of the characteristics of remote objects in optoelectronic systems by the method of wavelet transformation. Kontrol'. Diagnostika, 25(4), 20 – 31. [in Russian language]. DOI: 10.14489/td.2022.04.pp.020-031
26. Haritonova E. N. (2010). Mathematical model of the output signal and geometric noise of matrix photodetector devices, taking into account the nonlinearity of the pixel sensitivity characteristics. Vestnik pomorskogo universiteta. Seriya: Estestvennye nauki, (1), 117 ‒ 122. [in Russian language]
27. Makhov 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'yuternykh i informatsionnykh tekhnologiy, 19(11), 3 – 13. [in Russian language]. DOI: 10.14489/vkit.2022.11.pp.003-013
28. Chui Ch. (2001). Introduction to wavelets. Moscow: Mir. [in Russian language]
29. Makhov 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, 26(1), 4 – 13. [in Russian language]. DOI: 10.14489/td.2023.01.pp.004-013
30. Trevis Dzh., Kring Dzh. (2008). LabVIEW for everyone. Moscow: DMK Press. [in Russian language]
31. Vizil'ter Yu. V., Zheltov S. Yu., Knyaz' V. A. et al. (2007). Processing and analysis of digital images with examples on LabVIEW IMAQ Vision. Moscow: DMK Press. [in Russian language]
32. For A. (1989). Perception and pattern recognition. Mechanical Engineering. [in Russian language]
33. Makhov 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), 15 – 28. [in Russian language]. DOI: 10.14489/td.2023.11.pp.015-028
34. Makhov V. E., Shirobokov V. V., Emel'yanov A. V. (2024). Methodology for assessing the effectiveness of the functioning of optical-electronic systems when monitoring remote objects. Kontrol'. Diagnostika, 27(3), 42 – 49. [in Russian language]. DOI: 10.14489/td.2024.03.pp.042-049

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