Improvement of the Calculation and Analytical Method of TV-Camera Efficiency Assessment in Objects Detection and Recognition
https://doi.org/10.17586/0021-3454-2024-67-9-776-789
Abstract
An improved engineering methodology for assessing the probability of detection and recognition of terrain objects using air- and ground-based television cameras operating in the visible and/or near infrared range of the spectrum during the day and night is considered. The presented methodology is conceptually similar to that for thermal imaging devices, which makes it possible to obtain comparable estimates of the performance indicators of these types of surveillance equipment and, therefore, to predict the performance of the entire optical-electronic complex, consisting of television and thermal imaging channels. The proposed calculation and analytical method, unlike the known ones, takes into account a number of additional significant factors: the television camera operation depending on the level of natural illumination of the area both in noise-limited and contrast-limited modes, when their efficiency is limited, respectively, by the noise of the camera or the limited contrast sensitivity of the visual analyzer of the human operator; the type and severity of cloudiness, weakening the irradiation of the object from the Sun; atmospheric turbulence, select image deciphering conditions (brightness, contrast, visible magnification); an improved model of the operator’s visual analyzer during spatial-temporal integration of visual signals and its qualifications.
About the Authors
V. A. OvsyannikovRussian Federation
Vladimir A. Ovsyannikov, Dr. Sci., Chief Researcher
Kazan
Ya. V. Ovsyannikov
Russian Federation
Yaroslav V. Ovsyannikov, Engineer-Programmer
Kazan
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Review
For citations:
Ovsyannikov V.A., Ovsyannikov Ya.V. Improvement of the Calculation and Analytical Method of TV-Camera Efficiency Assessment in Objects Detection and Recognition. Journal of Instrument Engineering. 2024;67(9):776-789. (In Russ.) https://doi.org/10.17586/0021-3454-2024-67-9-776-789