Content
Number of images - 9
Tables and charts - 0
Spatial Spectra Features of Inhomogeneities for an Atmospheric Background Fragment Limited by the Field of View in an Optical-Electronic System of the LWIR Range L&E, Vol.33, No.4, 2025

Light & Engineering 33 (4) 2025

Volume 33
Date of publication 08/15/2025
Pages 80–85

Purchase PDF - ₽600

Spatial Spectra Features of Inhomogeneities for an Atmospheric Background Fragment Limited by the Field of View in an Optical-Electronic System of the LWIR Range L&E, Vol.33, No.4, 2025
Articles authors:
Yuri I. Yakimenko, Tatyana S. Astakhova, Ekaterina A. Sapronenkova, Sergey P. Astakhov, Roman V. Polyakov, Igor V. Yakimenko

Yuri I. Yakimenko, postgraduate student of the Department of Electronics and Microprocessor Technology at the NRU MPEI, Smolensk branch. He graduated from the NRU MPEI Smolensk Branch in 2015. His scientific interests: digital image processing, computer vision, optical range technical vision systems

Tatyana S. Astakhova is a student of the NRU MPEI, Smolensk branch. Her scientific interests: electronics and microprocessor technology, optical range technical vision systems

Ekaterina A. Sapronenkova, an assistant of the Electronics and Microprocessor Engineering Department at the NRU MPEI in Smolensk. She graduated from the NRU MPEI Smolensk Branch in 2020. Her scientific interests are digital image processing, computer vision, optical range technical vision systems

Sergey P. Astakhov, Ph. D. in Technical Sciences, Associate Professor. He graduated from Smolensk Higher Anti-Aircraft Missile Engineering School in 1989. At present, he is the Associate Professor at the Department of Electronics and Microprocessor Technology of the NRU MPEI Smolensk branch. His scientific interests: electronics and microprocessor technology, optical range technical vision systems

Roman V. Polyakov, a postgraduate student of the Department of Electronics and Microprocessor Technology at the NRU MPEI, Smolensk branch. In 2018, he graduated from the Smolensk Military Academy of Air Defence. His research interests: digital image processing, machine vision, artificial intelligence, neural networks

Igor V. Yakimenko, Doctor of Technical Sciences, Professor. He graduated from Smolensk Higher Anti-Aircraft Missile Engineering School in 1985; in 2006 graduated from the Smolensk Military Academy of Field Anti-Aircraft Defence. At present, he is the Head of the Department of Electronics and Microprocessor Technology at the NRU MPEI in Smolensk branch. His field of scientific interests is connecting with digital image processing, computer vision, and optical vision systems

Abstract:
The results of experimental studies for spatial spectra of an atmospheric background inhomogeneities fragment in the long-wave infrared range (LWIR) are presented. The results of studies for the atmospheric background radiation inhomogeneities, depending on their angular size, made it possible to divide atmospheric backgrounds into two groups: the first group includes cloud classes, containing small-scale inhomogeneities of 1º – 2° in the vertical directions and of 1º – 3° in horizontal directions, such as altocumulus (Ac), cumulus (Cu), cirrocumulus (Cc) and cirrus (Ci), and altostratus (As); the second group includes cloud classes containing large-scale inhomogeneities of > 6° in the horizontal directions and > 3° in the vertical directions such as stratus (St), stratocumulus (Sc), and clear sky.
References:
1. Allenov, A.M., Soloviev, V.A. Objective parameterization for the states of the cloudy atmosphere by the structure of its own radiation in the range of 8–13 μm [Ob”ektivnaya parametrizaciya sostoyanij oblachnoj atmosfery po strukture ee sobstvennogo izlucheniya v diapazone 8–13 mkm] // Optical Journal, 1999, Vol. 66, # 12, pp. 99–100.
2. Allenov, A.M., Soloviev, V.A. Correlation (spatial) connections between brightness fluctuations created by cloud irregularities in the range of 8–13 μm [Korrelyacionnye (prostranstvennye) svyazi mezhdu fluktuaciyami yarkosti, sozdavaemymi oblachnymi neodnorodnostyami v diapazone 8–13 mkm] // Proceedings of the IEM, Moscow: Gidrometeoizdat, 1995, # 25 (160), pp. 3–14.
3. Allenov, M.I. Structure of optical radiation of natural objects. [Struktura opticheskogo izlucheniya prirodnyh ob”ektov] / Moscow: Gidrometeoizdat, 1988, 164 p.
4. Allenov, A.M., Ivanova, N.P. Temporal variability of the spatial structure of sky radiation in the range of 8–13 μm under cumulus clouds [Vremennaya izmenchivost’ prostranstvennoj struktury izlucheniya neba v diapazone 8–13 mkm pri kuchevoj oblachnosti] // Optical Journal, 2001, Vol. 68, # 3. pp. 43–44.
5. Yakimenko, I. V., Smolin, V. A., Mishchenko, A.M. Results of studies of the spatial structure of atmospheric radiation in the spectral range of 1.5–2 μm [Rezul’taty issledovanij prostranstvennoj struktury izlucheniya atmosfery v spektral’nom diapazone 1.5–2 mkm] // Svetotekhnika, 2018, # 1, pp. 40–44.
6. Allenov, A.M., Bukhantsov, N.I., Gerasimov, V.V., Tretyakov, N.D. Scanning complex for measuring the spatial structure of atmospheric radiation in the range of 3–13 μm [Skaniruyushchij kompleks dlya izmereniya prostranstvennoj struktury izlucheniya atmosfery v oblasti 3–13 mkm] // Proceedings of the IEM, Moscow: Gidrometeoizdat, 1990, # 11 (132), pp. 54–61.
7. Alpatov, B.A., Blokhin, A.N., Muravyov, V.S. Image processing algorithm for automatic tracking systems of air objects [Algoritm obrabotki izobrazhenij dlya sistem avtomaticheskogo soprovozhdeniya vozdushnyh ob”ektov] // Digital signal processing, 2010, # 4.
8. Yakimenko, I.V. Methods, models and means of detecting air targets against the atmospheric background using wide-angle optical electronic systems: Monograph [Metody, modeli i sredstva obnaruzheniya vozdushnykh tseley na atmo-sfernom fone shirokougol’nymi optiko-elektronnymi sistemami: Monografiya] / St. Petersburg: Lan Publ., 2023, 168 p.
9. Smolin, V.A., Yakimenko, I.V., Rasskaza, D.S. Optical-information method for detecting unmanned aerial vehicles using a robotic optical-electronic system / [Optiko-informacionnyj metod obnaruzheniya bespilotnyh vozdushnyh sudov robotizirovannoj optiko-elektronnoj sistemoj] // GraphiCon 2022, 32nd International Conference on Computer Graphics and Machine Vision, September 19–22, 2022, Ryazan State Radio Engineering University named after V.F. Utkin, Ryazan, Russia, pp. 548–558.
10. Yakimenko, I.V., Yakimenko, Yu.I., Bobkov, V.I., Smolin, V.A. Optical Information Support for Artifact Detection robotic system on a complex background/ // Proceedings of International Symposium “Atmospheric Radiation and Dynamics” (ISARD‑2023), Saint-Petersburg State University, 2023. pp. 80–82.
11. Yakimenko, Yu.I., Bobkov V.I., Yakimenko I.V. Method for detecting artifacts on a complex background using an optical-electronic system [Metod obnaruzheniya artefaktov na slozhnom fone optiko-elektronnoj sistemoj] // Photonics, 2023, # 4, pp. 272–283.
12. Yakimenko, Yu.I., Astakhov, S.P., Yakimenko, I.V., Stolyarevskaya, R.I. Results of the study of spatio-temporal structures of cloud radiation in the LWIR range [Rezul’taty issledovaniya prostranstvenno-vremennyh struktur izlucheniya oblachnosti v LWIR diapazone] // Svetotekhnika, 2024, # 2, pp. 68–72.
13. https://www.unibelus.by/upload/files/ac7814c8–0cea‑11ea‑813e‑00155d045202.pdf
Keywords

Buy

Recommended articles