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Proceedings Paper

Recognition of camouflage targets with hyper-spectral polarization imaging system
Author(s): Qi-chao Wang; Jia-chun Wang; Da-peng Zhao; Li-fang Ma; Zong-sheng Chen; Zhi-gang Li
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Paper Abstract

On the basis of the principle of polarization detection, a hyper-spectral polarization imaging system, which is based on linear polarizer and acousto-optic tunable filter (AOTF), was designed to detect and recognize camouflage target intelligently and rapidly in this paper. Our design has neither moving parts nor modulation, and has fast and electronically tuning property, so a quick scan of spectrum at 400 nm~1000 nm can be realized electronically. At the same time, it not only could obtain the intensity image, hyper-spectral information, but also could acquire polarization signatures of the scene. Then the spectral polarization experiment about aluminous plane which covered with the bottle green, shallow green and khaki camouflage pigments within meadow were conducted at specifically wavelength by the instrument. Finally, the polarization information of the man-made targets and natural background in the scene, and the fusion image based on HIS color space were deduced through processing the experiment data. The experimental result demonstrates that the polarization characteristics of camouflage pigments were different from that of natural background. As the contrast of target and background could be enhanced by polarization information, the camouflage target could be identified effectively from the image according to polarization information. On the other hand, the camouflage target is more obvious in the fused image. Therefore, the proposed method and the system in this paper are reasonable and effective. Consequently, the hyper-spectral polarization detection technique which relative to the classical intensity detection is of significance to improve the accuracy of recognition of camouflage targets in mixed background under proper detection condition.

Paper Details

Date Published: 30 August 2013
PDF: 6 pages
Proc. SPIE 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, 89101Q (30 August 2013); doi: 10.1117/12.2034717
Show Author Affiliations
Qi-chao Wang, Electronic Engineering Institute (China)
Jia-chun Wang, Electronic Engineering Institute (China)
Da-peng Zhao, Electronic Engineering Institute (China)
Li-fang Ma, Academy of Army Officers (China)
Zong-sheng Chen, Electronic Engineering Institute (China)
Zhi-gang Li, Electronic Engineering Institute (China)


Published in SPIE Proceedings Vol. 8910:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications
Lifu Zhang; Jianfeng Yang, Editor(s)

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