Akademik Veri Yönetim Sistemi
Kocaeli Journal of Science and Engineering, cilt.8, sa.2, ss.103-110, 2025 (Hakemli Dergi)
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-Recognition-Identification)
analyses 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.