Method of Determining the Recognition Probability of Objects Observed by Polarimetric Thermal Imaging

Authors

Keywords:

polarimetric thermal imager, probability of target recognition, signal/noise ratio

Abstract

Thermal imaging observation systems are one of the important means of increasing the efficiency of security systems and military target observation systems, as they are able to work passively day and night, under adverse weather conditions of observation. In many cases, it is quite difficult to detect the target, and even more so to recognize it, with low background-target contrast. To increase the probability of target recognition, as well as to reduce false alarms, they began to actively conduct research and develop thermal imagers, in which the carrier of information is the polarization properties of target and background radiation.

The purpose of the article is to develop a new method for determining the probability of recognition of observation objects by a polarimetric thermal imager (PTI), the research of which will allow to significantly expand the practical application of such thermal imagers.

The mathematical model of PTI and an algorithm for obtaining polarimetric images using Stokes parameters have been developed. The dependence of the target recognition probability Pr on the degree of polarization P of the radiation of the target, which is located on the natural background, is established. An example of calculating the probability of detection target by PTI is considered, which indicates that the probability of target recognition depends significantly on the degree of polarization of its radiation, provided that it is located on a background with unpolarized radiation.

For example, the probability of recognition is Pr=50%, when the degree of polarization of target radiation is P=9%. If P=16%, then Pr=90%. If there is no contrast between the natural radiation of the target and the background, the signal-to-noise ratio at the PTI output will be 1.8, and the probability of recognition will be Pr=90%. This feature of PTI operation significantly increases the efficiency of its use.

Author Biography

V. G. Kolobrodov, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Колобродов В. Г., д.т.н., професор кафедри оптичних та оптико-електронних приладів

References

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Published

2022-12-30

How to Cite

Колобродов, В. Г. (2022) “Method of Determining the Recognition Probability of Objects Observed by Polarimetric Thermal Imaging”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (90), pp. 37-41. Available at: https://radap.kpi.ua/radiotechnique/article/view/1876 (Accessed: 13April2024).

Issue

Section

Computing methods in radio electronics

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