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Proceedings Paper

Target information enhancement using polarized component of infrared images
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Paper Abstract

After a deep study of the principle of infrared polarization imaging detection, the infrared polarization information of target and background is modeled. Considering the partial polarized light can be obtained by the superposition of natural light (unpolarized light) and linearly polarized component while ignoring the component of circularly polarized light, and combing with the degree of polarization (DOLP) and the angle of polarization (AOP), the infrared polarization information is expressed by the multiplying of an intensity factor by a polarization factor. What we have modeled not only can be used to analyze the infrared polarization information visually and profoundly, but also make the extraction of polarized features convenient. Then, faced with different application fields and based on the model, a target information enhancement program is proposed, which is achieved by extracting a linear polarization component in a certain polarized direction. This program greatly improves the contrast between target and background, and can be applied in target detection or identification, especially for camouflage or stealth target. At last, we preliminarily tested the proposed enhancement method exploiting infrared polarization images obtained indoor and outdoor, which demonstrates the effectiveness of the enhancement program.

Paper Details

Date Published: 20 November 2014
PDF: 6 pages
Proc. SPIE 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications, 930012 (20 November 2014); doi: 10.1117/12.2071303
Show Author Affiliations
Tiaowen Qiu, National Univ. of Defense Technology (China)
Yan Zhang, National Univ. of Defense Technology (China)
Jicheng Li, National Univ. of Defense Technology (China)
Weiping Yang, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9300:
International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications
Mircea Guina; Haimei Gong; Zhichuan Niu; Jin Lu, Editor(s)

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