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Sensors 2017, 17(1), 56;

Target Detection over the Diurnal Cycle Using a Multispectral Infrared Sensor

School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 14 September 2016 / Revised: 23 December 2016 / Accepted: 26 December 2016 / Published: 29 December 2016
(This article belongs to the Special Issue Imaging: Sensors and Technologies)
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When detecting a target over the diurnal cycle, a conventional infrared thermal sensor might lose the target due to the thermal crossover, which could happen at any time throughout the day when the infrared image contrast between target and background in a scene is indistinguishable due to the temperature variation. In this paper, the benefits of using a multispectral-based infrared sensor over the diurnal cycle have been shown. Firstly, a brief theoretical analysis on how the thermal crossover influences a conventional thermal sensor, within the conditions where the thermal crossover would happen and why the mid-infrared (3~5 μm) multispectral technology is effective, is presented. Furthermore, the effectiveness of this technology is also described and we describe how the prototype design and multispectral technology is employed to help solve the thermal crossover detection problem. Thirdly, several targets are set up outside and imaged in the field experiment over a 24-h period. The experimental results show that the multispectral infrared imaging system can enhance the contrast of the detected images and effectively solve the failure of the conventional infrared sensor during the diurnal cycle, which is of great significance for infrared surveillance applications. View Full-Text
Keywords: infrared sensor; multispectral; diurnal cycle; thermal crossover infrared sensor; multispectral; diurnal cycle; thermal crossover

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Zhao, H.; Ji, Z.; Li, N.; Gu, J.; Li, Y. Target Detection over the Diurnal Cycle Using a Multispectral Infrared Sensor. Sensors 2017, 17, 56.

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