METHODOLOGY OF DETECTION OF THERMAL REFLECTIONS IN THE INFRARED RANGE

Authors

DOI:

https://doi.org/10.20535/kpisn.2020.4.205442

Keywords:

thermal imager, polarization, thermal prints, Stokes vector, polarization state, fingerprint detection

Abstract

Background. Thermal reflections are a common source of problems in the interpretation of infrared (IR) thermal images. In particular, wet or polished surfaces, such as glass, metals, as well as brick and concrete, can easily reflect infrared radiation but are often overlooked. If left unchecked, these thermal reflections can lead to incorrect detection and recognition of the object or misinterpretation of its actual temperature.

Objective. The purpose of a theoretical analysis between the thermal radiation of an object and its reflection is to develop methods for the possibility of attenuation or at least identification of such prints using optical methods.

Methods. Light becomes polarized when it interacts with an object or matter through various mechanisms, such as scattering, reflection, or transmission. One of the possibilities of implementing such methods is the use of IR polarizers in combination with thermal imaging surveillance system.

Results. Article describes the physical and mathematical model of fingerprint detection and the possibilities of their elimination. The reflected light is partially polarized, so the main approach to its identification is to find the Stokes parameters. The authors considered three main methods for analyzing the state of polarization: the use of a rotating polarizer in front of the observation system, a special matrix with polarizers located on top of each pixel at certain angles, and a method based on dividing the amplitude in the polarimeter. full Stokes vector.

Conclusions. The advantages and disadvantages of the considered methods were revealed. The main features of structures and the cost of their implementation, which are necessary for each method, were determined, with the further purpose of their use in the development of a polarizing thermal imaging camera for unmanned aerial vehicles.

References

K.P. Gurton et al., “Enhanced facial recognition for thermal imagery using polarimetric imaging,” Optic. Letter., vol. 39, no. 13, pp. 3857–3859, 2014. doi: 10.1364/OL.39.003857

V.G. Kolobrodov, Wave optics. Part 1. Electromagnetic theory of light and interference, Kyiv, Ukraine: Igor Sikorsky KPI, 2017.

N. Li et al., “Removal of reflections in LWIR image with polarization characteristics,” Optic. Expr., vol. 26, no. 13, pp. 16488–16504, 2018. doi: 10.1364/OE.26.016488

S. Henke et al., “Identification and suppression of thermal reflections in infrared thermal imaging,” in Proc. InfraMation, 2004, vol. 5, pp. 287–298.

M. Born et al., Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light, 7th ed. Cambridge: Cambridge University Press, 1999. doi: 10.1017/CBO9781139644181

Y.-Q. Zhao et al., “Object detection by spectropolarimeteric imagery fusion,” IEEE Trans. Geosci. Remote Sens., vol. 46, no. 10, pp. 3337–3345, 2008. doi: 10.1109/TGRS.2008.920467

B. Behzadnezhad et al., “Angle sensing LWIR detectors using coupled nano-antenna arrays,” in Proc. 10th European Conference on Antennas and Propagation (EuCAP), 2016. doi: 10.1109/EuCAP.2016.7481117

Y. Zhao et al., “Multi-band Polarization Imaging,” in Multi-band Polarization Imaging and Applications. Advances in Computer Vision and Pattern Recognition. Heidelberg, Berlin: Springer, 2016. doi:10.1007/978-3-662-49373-1_3

J.S. Tyo et al., “Review of passive imaging polarimetry for remote sensing applications,” Appl. Optic., vol. 45, no. 22, pp. 5453–5469, 2006. doi: 10.1364/AO.45.005453

C.A. Farlow et al., “Imaging polarimeter development and applications,” in Proc. Polarization Analysis and Measurement IV, San Diego, CA, United States, 2002, vol. 4481. doi:10.1117/12.452880

I. Karpenko et al., “Polarization method for detecting a heat-contrast target against the background of interference,” Visnyk KHNU. Techn. Sci., no. 1, pp. 33–37, 2018.

V. Kolobrodov et al., “Features of use of thermal imager on unmaned aerial vehicles,” Bulletin KPI. Ser. Instrum. Making, no. 58 (2), pp. 9–15, 2019. doi: 10.20535/1970.58(2).2019.189249

Downloads

Published

2021-03-23

Issue

No. 4 (2020)

Section

Статті

License

Copyright (c) 2020 Valentin G. Kolobrodov, Viktoriia P. Nalbandova, Bohdan V. Sokol

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The ownership of copyright remains with the Authors.
 
Authors may use their own material in other publications provided that the Journal is acknowledged as the original place of publication and National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” as the Publisher.

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under CC BY 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work