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Electronic and Acoustic Engineering
ISSN 2524-2725 · e‑ISSN 2617-0965 Open Access · CC BY-NC 4.0
Vol. 3 · Issue 1 · 2020 Mar 31, 2020 Electronic Systems and Signals

Analysis of Factors Affecting the Efficiency of Electro-Optical Systems

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Andrii Serhiiovych Lysenko Corresponding National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Ukraine
Pages15 - 18 PublishedMar 31, 2020 LicenseOpen Access
PDF (Ukrainian)
VOL 3 · ISS 1 · 2020 View issue

Abstract

According to present knowledge thermal imaging electro-optical surveillance systems with object detection are widely used in various fields of human activity. Thermal imagers use infrared radiation emitted by objects and people, so it makes possible to take a sight in complete darkness and miscellaneous weather conditions. Typical applications of this technology are security and surveillance systems, along with autonomous navigation industries in aircraft and ground vehicle. The aim of the work is to determine the necessary condition for an accurate parameter estimation of the electro-optical systems allowing for adverse externalities.

First of all, the various infrared spectrum ranges will be considered and corresponding wavelengths will be pointed for each of the following. Thermal imaging cameras are capable of receiving emission from an object in the infrared spectral ranges, which have an atmospheric transparency window, i.e. MWIR and LWIR.

<p >Then the structural diagram of the phased generation process of infrared images in thermal imaging systems will be discussed. It appears that, the image formation chain includes such components as irradiation source, optics, imaging sensor, read-out electronics, processing electronics, compression and transmission of data, decoding, search & track engine, display and finally human observer.

The next chapter will describe the probability method of detecting objects based on the effective resolution of the depicted object. There will be resulted the table of visual perception levels, namely orientation, recognition, identification. And relative levels of perception will be provided the corresponding resolution of the image.

The next section will analyze the factors affecting the objects identification. Before the radiation from the object reaches the thermal imaging sensor optics, it must go through many obstacles, which include atmospheric factors such as precipitation and air condition (humidity, temperature), solar radiation, etc. Various equations and models will be carried out to take into account the above factors. For example, Johnson's criterion, and a more advanced Target Task Performance recognition model.

This paper considers the main criteria for detecting objects using electro-optical systems in the infrared range. The robust analysis of literature sources will be conduct and describe the basics of visualization and the infrared imaging in thermal systems. Then Johnson criteria, which is considering for calculating the efficiency of electro-optical systems, will be evaluated for validity using in real-world environment. Also, it will be pointed out, that the greatest negative contribution on visualization is made by weather and atmospheric conditions, clutter effects and density, motion-blur and defocusing, along with target properties – aspect ratio and viewing angle. Finally, it will be suggested prediction models and software packages that will help determine the real characteristics of the elaborate device and identify the weak link of the system.

Keywords

#surveillance systems #thermal imaging #infrared image #object detection

References

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License

CCBY-NC 4.0
Creative Commons Attribution 4.0 International

This work is openly licensed — share and adapt freely with attribution to the authors and the journal. View license terms ↗

Copyright (c) 2020 Андрій Сергійович Лисенко (Автор)

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