Test object for automated measurement of characteristics of polarizing thermal imagers
Keywords:
polarizing thermal imager, test object, spatial resolution, temperature resolution, measuring benchAbstract
The growing popularity of increasing the efficiency of remote surveillance by analyzing the degree of polarization of optical radiation in the infrared spectrum requires the development of theoretical and practical methods for determining the characteristics of a new class of optoelectronic devices - polarizing thermal imagers. In contrast to the calculation methods, the issues of practical implementation of measuring benches are currently insufficiently studied. This paper proposes and analyzes options for the structure of test objects for experimental studies of polarizing thermal imagers. A metal plate is considered, which can tilt relative to the line of sight, as well as a spherical metal surface that does not require additional mechanical drives. In the former case, the degree of polarization, ellipticity, and polarization angle are varied by changing its angular orientation in the vertical and horizontal planes. The spherical surface forms a photometric body, in which the radiation of concentric zones has a certain constant degree of polarization. Such test objects provide measurements of the noise equivalent temperature difference NETD and the minimum resolvable temperature difference MRTD of polarizing thermal imagers for different polarization states of the input radiation, which is characterized by the intensity, degree of polarization, ellipticity and polarization angle. Bibl. 17, Figs. 9.
References
Peri´c Dragana, Livada Branko, Peri´c Miroslav and Vuji´ Saša (2019). Thermal imager range: predictions, expectations, and reality. Sensors, 19, 3313.
Schuster Norbert, Kolobrodov Valentin G. (2004). Infrarotthermographie. Zweite, überarbeitete und erweiterte Ausgabe. Berlin: WILEY-VCH.
Vollmer Michael and Mollman Klaus-Peter (2018). Infrared thermal imaging. Fundamentals, research and applications. 2nd ed. Weinheim: Wiley – VCH.
Anatychuk L.I. (2020). Efficiency criterion of thermoelectric energy converters using waste heat. J.Thermoelectricity, 4, 59-63.
Anatychuk L.I., Vikhor L.M., Kotsur M.P., Kobylianskyi R.R., Kadenyuk T.Ya. (2016). Optimal control of time dependence of cooling temperature in thermoelectric devices. J.Thermoelectricity, 5, 5-11.
Vollmer M., Karstadt S., Mollmann K.-P., Pinno F. (2001). Identification and suppression of thermal imaging. InfraMation Proceedings. Brandenburg: University of Applied Sciences. Brandenburg. – ITC 104 A.
Goldstein D.H. (2011). Polarized light. Third edition. London New York: CRC Press is an imprint of Taylor & Francis Group.
Gurton K.P., Yuffa A.J., Videen G.W. (2014). Enhanced facial recognition for thermal imagery using polarimetric imaging. Optical Society of America, 39(13), 3857–3859.
Zhang Y., Shi Z.G., Qiu T.W. (2017). Infrared small target detection method based on decomposition of polarization information. Journal of Electronic Imaging, 33004, № 1.
Chrzanowski K. (2010). Testing thermal imagers. Practical guidebook. Military University of Technology, 00-908 Warsaw, Poland.
Kaplan Herbert. (2007). Practical applications of infrared thermal sensing and imaging equipment. 3d ed. Washington: SPIE Press.
Chyzh I., Kolobrodov V., Molodyk A., Mykytenko V., Tymchyk G., Romaniuk R., Kisała P., Kalizhanova A., Yeraliyeva B. (2020). Energy resolution of dual-channel opto-electronic surveillance system. SPIE Proceedings, 11581, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2020; 115810K.
Chipman Russell A., Tiffany Lam Wai-Sze, Young Garam (2019). Polarized light and optical systems. Taylor & Francis, CRC Press.
Collett Edward (2005). Field guide to polarized light. Washington: SPIE Press.
Born M., Wolf E. (2002). Principles of optics. 7th ed. Cambridge: Cambridge University.
Kolobrodov, V.G. Polarization model of thermal contrast observation objects / Kolobrodov, V.G., Mykytenko, V.I., Tymchyk, G.S. // Journal of thermoelectricity. - 2020, 2020(1). – P. 36–49.
Short N. J., Yuffa A.J., Videen G. and Hu S. (2016). Effects of surface materials on polarimetric thermal measurements: applications to face recognition. Applied Optic, 55 (19), 5226–5233.