doi: 10.17586/2226-1494-2023-23-6-1077-1083


Modeling the illumination of the Earth’s surface to select the operating modes of the radiation source

A. I. Altuchov, D. S. Korshunov


Read the full article  ';
Article in Russian

For citation:
Altuchov A.I., Korshunov D.S. Modeling the illumination of the Earth’s surface to select the operating modes of the radiation source. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2023, vol. 23, no. 6, pp. 1077–1083 (in Russian). doi: 10.17586/2226-1494-2023-23-6-1077-1083


Abstract
An approach to obtain light-signal characteristics in graphoanalytical form is proposed to substantiate the operating modes of the emitting equipment of active optoelectronic complexes of remote sensing of the Earth. These complexes are used for shooting in conditions of insufficient natural illumination of the terrain due to the difficult terrain, geographical location of the area or the low position of the Sun above the plane of the local horizon. Using the presented model, calculations of the energy illumination of the Earth’s surface were carried out, dependencies were constructed that take into account the influence of the position of the Sun above the local horizon plane for specific dates and daily time on the distribution of the spectral density of the electromagnetic radiation flux. Light-signal characteristics have been obtained, which can be used to justify the operating modes of the emitting equipment of active optoelectronic complexes. Based on these characteristics, it is concluded that it is necessary to artificially enhance the spectral density of the radiation flux in a given range of the spectrum in order to achieve the required illumination of the photographed area of the Earth’s surface for a specific date and time. The amplification of the spectral density of the radiation flux makes it possible to create the exposure required for the formation of images with high visual properties. The simulation results are used in the problem of predicting the quality of images obtained using artificial sources of optical illumination. The proposed approach makes it possible to obtain images characterized by the high value of linear resolution on the ground, without resorting to increasing the charge accumulation time by the photodetector of the recording equipment. The application of this approach is particularly relevant in the conditions of conducting aerospace surveys.

Keywords: optical illumination, light-signal characteristic, optoelectronic complexes

References
  1. Baklanov A.I. Observation and Monitoring Systems. Moscow, BINOM Publ., 2009, 234 p. (in Russian)
  2. Yurchenko V.I. Design peculiarities of the aerial photography from an unmanned aircraft. Vestnik of the Siberian State University of Geosystems and Technologies (SSUGT), 2021, vol. 26, no. 2, pp. 65–81. (in Russian). https://doi.org/10.33764/2411-1759-2021-26-2-65-81
  3. Emelyanov S.G., Аtakishev О.I., Altuchov A.I., Gnusarev N.V., Korshunov D.S. On accounting lighting conditions to survey space objects photographic means. Proceedings of Southwest State University, 2012, no. 3-1(42), pp. 58–62. (in Russian)
  4. Khrushch R.M. Aerospace Methods. Part 1. Aerial and Satellite Surveys and a Single Still Photograph Theory. St. Petersburg, Saint Petersburg State University Publ., 2009, 160 p. (in Russian)
  5. Moiseev V.S. Applied Command and Control Theory for Unmanned Aerial Vehicles. Kazan, Republican center for monitoring the quality of education, 2013, 768 p. (in Russian)
  6. Zanin K.A. Methods for designing optical-electronic complexes of space vehicles. Design of automatic space vehicles for fundamental scientific research. Moscow, MAI Publ., 2012, pp. 261–335. (in Russian)
  7. Grigor’ev A.N., Altukhov A.I., Korshunov D.S. Aerial mapping based on arrangement of optical electron cameras. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2020, vol. 20, no. 3, pp. 318–326. (in Russian). https://doi.org/10.17586/2226-1494-2020-20-3-318-326
  8. Karasik V.E., Orlov V.M. Location-Based Laser Vision Systems. Moscow, BMSTU Publ., 2013, 478 p. (in Russian)
  9. Grigor’ev A.N., Altuchov A.I., Korshunov D.S. Approach to getting images of objects based on indirect laser location data. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2021, vol. 21, no. 1, pp. 31–39 (in Russian). https://doi.org/10.17586/2226-1494-2021-21-1-31-39
  10. Gariepy G., Krstajic N., Henderson R., Li C., Thomson R.R., Buller G.S., Heshmat B., Raskar R., Leach J., Faccio D. Single-photon sensitive light-in-fight imaging. Nature Communications, 2015, vol. 6, pp. 6021. https://doi.org/10.1038/ncomms7021
  11. Tikhonov E.V., Markushin G.N., Koshelev A.V., Vekshin Yu.A., Аlmazov A.A., Shvalev A.V., Korotaev V.V. Parametric laser rangefinder with passive system of thermostabilization. Opticheskii Zhurnal, 2023, vol. 90, no. 10, pp. 80–92. (in Russian). http://doi.org/10.17586/1023-5086-2023-90-10-80-92
  12. Grigoriev А.N., Zamarin A.I., Karavaev M. N. Method of group objects forming for space-based remote sensing of the Earth. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2015, vol. 15, no. 4, pp. 587–594. (in Russian)
  13. Molchanov A.S., Chausov E.V. Method of estimating a linear solution aviation digital optico-electronic systems during flight testing process. Izvestiya Tula State University. Technical Sciences, 2019, no. 2, pp. 140–150. (in Russian)
  14. Grigorev A.N., Korshunov D.S., Beliaev A.S. Quality prediction of the hyperspectral images of remote sensing space systems. Proceedings of the Mozhaisky Military Space Academy, 2010, no. 629, pp. 143–147. (in Russian)
  15. Demin A., Moiseeva M. Invariant model for estimation of the atmosphere transmitting efficiency at objects monitoring in the optical spectral range. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2012, no. 1, pp. 9–14. (in Russian)
  16. Markushin G.N., Korotaev V.V., Koshelev A.V., Samokhina I.A., Vasilev A.S., Timofeev A.N., Vasileva A.V., Yaryshev S.N. Dual-band optoelectronic poaching detection systems. Journal of Optical Technology, 2022, vol. 89, no. 9, pp. 528–536. https://doi.org/10.1364/JOT.89.000528
  17. Zlobin V.K., Eremeev V.V. Aerospace Imaging Processing. Moscow, Fizmatlit Publ., 2006, 288 p. (in Russian)


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Copyright 2001-2024 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.
All rights reserved.

Яндекс.Метрика