Araştırma Makalesi
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Investigation of the Atmospheric Turbulence Effects on Electro-Optical Reconnaissance Imaging Systems in the Marine Environment

Yıl 2025, Cilt: 8 Sayı: 2, 103 - 110, 30.11.2025
https://doi.org/10.34088/kojose.1476891

Öz

Atmospheric turbulence has a disruptive effect on the optical spectrum of the atmosphere in reconnaissance surveillance systems and especially in military laser operations. The main cause of atmospheric turbulence is that the atmosphere is composed of different gas and aerosol contents and is also subject to meteorological effects. To eliminate the disturbing effects of atmospheric turbulence, it is important to know the turbulence intensity. However, due to the complex structure of the atmosphere, knowing the atmospheric turbulence intensity is a difficult problem to solve. Due to the impossibility of turbulence measurements, especially at long distances, atmospheric turbulence prediction models have been developed. It is preferred to use estimated atmospheric turbulence values for fast information, when navigating over the sea because of this measurement difficulty. This study discusses, the effects of atmospheric turbulence on electro-optical reconnaissance and surveillance systems in the marine environment have been discussed. For this purpose, atmospheric turbulence predictions were made by collecting meteorological parameters in 4 different seasons of 2023 in the Marmara region and using the Sadot-Kopeika prediction model. Atmospheric turbulence measurements were also made at the same location and in the same time periods and compared with the prediction results. To investigate the effects of the atmospheric turbulence on the performance of electro-optical reconnaissance and surveillance systems, DRI (Detection-Recognation-Identification) analyzes of an electro-optical sensor were carried out with the NVIPM (Night Vision Integrated Performance Model) software. The predicted and the measured atmospheric turbulence values have been used in the DRI analyses. When the DRI analysis results were evaluated, it was seen that the performance percentages using the predicted atmospheric turbulence values were compatible with the performance percentages using the measured atmospheric turbulence values. Based on these results, it has been foreseen that by predicting atmospheric turbulence, countermeasures to be taken against turbulence can be developed and electro-optical reconnaissance surveillance systems can also gain the ability to estimate turbulence based on turbulence-induced distortions in the pixels of the cameras.

Kaynakça

  • [1] Xu M., Shao S., Weng N., Zhou L., Li̇u Q., Zhao Y., 2021. Atmospheric Optical Turbulence Characteristics Over the Ocean Relevant to Astronomy and Atmospheric Physics. Appli̇ed Sci̇ences, 11, 10548, pp. 1-13.
  • [2] Tunick A. D., 1998. The Refractive Index Structure Parameter/Atmospheric Optical Turbulence Model: CN2, Army Research Laboratory, USA.
  • [3] Hulea M., Tang X., Ghassemlooy Z. and Rajbhandari S., 2016. A Review on Effects of the Atmospheric Turbulence on Laser Beam Propagation An – Analytic Approach. 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Prague, Czech Republic, pp. 1-6, doi: 10.1109/CSNDSP.2016.7573975.
  • [4] Beland R. R., 1993. Propagation through Atmospheric Optical Turbulence, The Infrared and Electro-Optical Systems Handbook, SPIE Optical Engineering Press, USA.
  • [5] Trichili, A., Cox, M., Ooi, B., Alouini, M.S. (2020). Roadmap to Free Space Optics. Journal of the Optical Society of America B. 37(11), 184-201.
  • [6] Künzner, N., Kushauer, J., Katzenbeißer, S., Wingender, K. (2010). Modern electro-optical imaging system for maritime surveillance applications. International WaterSide Security Conference, Carrara, İtalya, 3-5 Ekim 2010.
  • [7] Lahiri, B.B., Subramaniam, B., Jayakumar, T., Philip, J. (2012). Medical applications of infrared thermography A review. Infrared Physics & Technology, (55), 221-235.
  • [8] Glavaš, H., Bobic, T., Dorić, D., Bozic Lenard, D. (2018). Infrared thermography camera protection in dairy farming management. Computers and Electronics in Agriculture, (157), 604-615.
  • [9] Hou, Fujin., Zhang, Yan., Zhou, Yong., Zhang, Mei., Bin, Lyu., Wu, J. (2022). Review on Infrared Imaging Technology. Sustainability, 14(18), 11161.
  • [10] Hudcova L., Wilfert O., 2017. Prediction of Atmospheric Turbulence on the Basis of Weather Conditions. 2017 Conference on Microwave Techniques (COMITE), Brno, Czech Republic, pp. 1-5, doi: 10.1109/COMITE.2017.7932305.
  • [11] Birnir B., 2013.The Kolmogorov-Obukhov theory of turbulence, Springer New York, NY, USA.
  • [12] Wei T., Willmarth W., 1988. Reynolds-Number Effects On The Structure Of A Turbulent Channel Flow, Journal of Fluid Mechanics, 204, pp. 57-95.
  • [13] Zaman K. B. M. Q. and Hussain A. K. M. F, 1981. Taylor hypothesis and large-scale coherent structures, Journal of Fluid Mechanics, 112, pp. 379-396.
  • [14] Taylor G. I., 1938. The Spectrum of Turbulence, Proceedings of The Royal Society of London A, 164, pp. 476–490.
  • [15] Sadot D., Kopeika N. S., 1992. Forecasting Optical Turbulence Strength On The Basis Of Macroscale Meteorology and Aerosols: Models and Validation, Optical Engineering, 31(2), pp. 200-212.
  • [16] ITS Weather Stations METEOS 101 Specifications.
  • [17] Kleissl J., Watts C.J., Rodriguez J.C., Naif S., Vivoni E. R., 2009. Scintillometer Intercomparison Study-Continued, Boundary-Layer Meteorol 130, pp. 437–443.
  • [18] Ross V., Dion D., and St-Germain D., (2012). Experimental Validation of the MODTRAN 5.3 Sea Surface Radiance Model Using MIRAMER Campaign measurements, Applied Optics, 51 (13), pp. 2264-2276.

Investigation of the Atmospheric Turbulence Effects on Electro-Optical Reconnaissance Imaging Systems in the Marine Environment

Yıl 2025, Cilt: 8 Sayı: 2, 103 - 110, 30.11.2025
https://doi.org/10.34088/kojose.1476891

Öz

Atmospheric turbulence has a disruptive effect on the optical spectrum of the atmosphere in reconnaissance surveillance systems and especially in military laser operations. The main cause of atmospheric turbulence is that the atmosphere is composed of different gas and aerosol contents and is also subject to meteorological effects. To eliminate the disturbing effects of atmospheric turbulence, it is important to know the turbulence intensity. However, due to the complex structure of the atmosphere, knowing the atmospheric turbulence intensity is a difficult problem to solve. Due to the impossibility of turbulence measurements, especially at long distances, atmospheric turbulence prediction models have been developed. It is preferred to use estimated atmospheric turbulence values for fast information, when navigating over the sea because of this measurement difficulty. This study discusses, the effects of atmospheric turbulence on electro-optical reconnaissance and surveillance systems in the marine environment have been discussed. For this purpose, atmospheric turbulence predictions were made by collecting meteorological parameters in 4 different seasons of 2023 in the Marmara region and using the Sadot-Kopeika prediction model. Atmospheric turbulence measurements were also made at the same location and in the same time periods and compared with the prediction results. To investigate the effects of the atmospheric turbulence on the performance of electro-optical reconnaissance and surveillance systems, DRI (Detection-Recognation-Identification) analyzes of an electro-optical sensor were carried out with the NVIPM (Night Vision Integrated Performance Model) software. The predicted and the measured atmospheric turbulence values have been used in the DRI analyses. When the DRI analysis results were evaluated, it was seen that the performance percentages using the predicted atmospheric turbulence values were compatible with the performance percentages using the measured atmospheric turbulence values. Based on these results, it has been foreseen that by predicting atmospheric turbulence, countermeasures to be taken against turbulence can be developed and electro-optical reconnaissance surveillance systems can also gain the ability to estimate turbulence based on turbulence-induced distortions in the pixels of the cameras.

Kaynakça

  • [1] Xu M., Shao S., Weng N., Zhou L., Li̇u Q., Zhao Y., 2021. Atmospheric Optical Turbulence Characteristics Over the Ocean Relevant to Astronomy and Atmospheric Physics. Appli̇ed Sci̇ences, 11, 10548, pp. 1-13.
  • [2] Tunick A. D., 1998. The Refractive Index Structure Parameter/Atmospheric Optical Turbulence Model: CN2, Army Research Laboratory, USA.
  • [3] Hulea M., Tang X., Ghassemlooy Z. and Rajbhandari S., 2016. A Review on Effects of the Atmospheric Turbulence on Laser Beam Propagation An – Analytic Approach. 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Prague, Czech Republic, pp. 1-6, doi: 10.1109/CSNDSP.2016.7573975.
  • [4] Beland R. R., 1993. Propagation through Atmospheric Optical Turbulence, The Infrared and Electro-Optical Systems Handbook, SPIE Optical Engineering Press, USA.
  • [5] Trichili, A., Cox, M., Ooi, B., Alouini, M.S. (2020). Roadmap to Free Space Optics. Journal of the Optical Society of America B. 37(11), 184-201.
  • [6] Künzner, N., Kushauer, J., Katzenbeißer, S., Wingender, K. (2010). Modern electro-optical imaging system for maritime surveillance applications. International WaterSide Security Conference, Carrara, İtalya, 3-5 Ekim 2010.
  • [7] Lahiri, B.B., Subramaniam, B., Jayakumar, T., Philip, J. (2012). Medical applications of infrared thermography A review. Infrared Physics & Technology, (55), 221-235.
  • [8] Glavaš, H., Bobic, T., Dorić, D., Bozic Lenard, D. (2018). Infrared thermography camera protection in dairy farming management. Computers and Electronics in Agriculture, (157), 604-615.
  • [9] Hou, Fujin., Zhang, Yan., Zhou, Yong., Zhang, Mei., Bin, Lyu., Wu, J. (2022). Review on Infrared Imaging Technology. Sustainability, 14(18), 11161.
  • [10] Hudcova L., Wilfert O., 2017. Prediction of Atmospheric Turbulence on the Basis of Weather Conditions. 2017 Conference on Microwave Techniques (COMITE), Brno, Czech Republic, pp. 1-5, doi: 10.1109/COMITE.2017.7932305.
  • [11] Birnir B., 2013.The Kolmogorov-Obukhov theory of turbulence, Springer New York, NY, USA.
  • [12] Wei T., Willmarth W., 1988. Reynolds-Number Effects On The Structure Of A Turbulent Channel Flow, Journal of Fluid Mechanics, 204, pp. 57-95.
  • [13] Zaman K. B. M. Q. and Hussain A. K. M. F, 1981. Taylor hypothesis and large-scale coherent structures, Journal of Fluid Mechanics, 112, pp. 379-396.
  • [14] Taylor G. I., 1938. The Spectrum of Turbulence, Proceedings of The Royal Society of London A, 164, pp. 476–490.
  • [15] Sadot D., Kopeika N. S., 1992. Forecasting Optical Turbulence Strength On The Basis Of Macroscale Meteorology and Aerosols: Models and Validation, Optical Engineering, 31(2), pp. 200-212.
  • [16] ITS Weather Stations METEOS 101 Specifications.
  • [17] Kleissl J., Watts C.J., Rodriguez J.C., Naif S., Vivoni E. R., 2009. Scintillometer Intercomparison Study-Continued, Boundary-Layer Meteorol 130, pp. 437–443.
  • [18] Ross V., Dion D., and St-Germain D., (2012). Experimental Validation of the MODTRAN 5.3 Sea Surface Radiance Model Using MIRAMER Campaign measurements, Applied Optics, 51 (13), pp. 2264-2276.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Fotonik, Optoelektronik ve Optik İletişim
Bölüm Araştırma Makalesi
Yazarlar

Burak Ferdi Aktan 0000-0002-0346-1764

Elif Kaçar 0000-0001-6682-0114

Gönderilme Tarihi 1 Mayıs 2024
Kabul Tarihi 17 Nisan 2025
Erken Görünüm Tarihi 28 Haziran 2025
Yayımlanma Tarihi 30 Kasım 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 2

Kaynak Göster

APA Aktan, B. F., & Kaçar, E. (2025). Investigation of the Atmospheric Turbulence Effects on Electro-Optical Reconnaissance Imaging Systems in the Marine Environment. Kocaeli Journal of Science and Engineering, 8(2), 103-110. https://doi.org/10.34088/kojose.1476891