TY - JOUR
AU - Колобродов, В. Г.
PY - 2022/12/30
Y2 - 2023/03/31
TI - Method of Determining the Recognition Probability of Objects Observed by Polarimetric Thermal Imaging
JF - Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia
JA - RADAP
VL -
IS - 90
SE -
DO -
UR - https://radap.kpi.ua/radiotechnique/article/view/1876
SP - 37-41
AB - <p>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.<br /><br />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.<br /><br />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 <em>P<sub>r</sub> </em>on the degree of polarization <em>P</em> 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.<br /><br />For example, the probability of recognition is <em>P<sub>r</sub></em>=50%, when the degree of polarization of target radiation is <em>P</em>=9%. If <em>P</em>=16%, then <em>P<sub>r</sub></em>=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 <em>P<sub>r</sub></em>=90%. This feature of PTI operation significantly increases the efficiency of its use.</p>
ER -