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Proceedings Paper

Study on the recognition of camouflage targets with hyper-spectral detection
Author(s): Jia-chun Wang; Qi-chao Wang; Zhi-dan Lin; Da-peng Zhao; Jia-ming Shi; Zong-sheng Chen
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Paper Abstract

In order to acquire more information of the scene to improve the veracity of recognition of camouflage targets, an electrically tunable hyper-spectral detection system, which is based on acousto-optic tunable filter (AOTF), was designed. The system includes collimated optical system, AOTF and its controller, imaging lens, CCD sensor and so on. The system has a property of being fast and electronically tunable, so a quick scan of spectrum over the waveband of 550 nm ~ 900nm can be realized. A series of hyper-spectral imaging experiments about a camouflage aluminum plane, coated with three typical camouflage pigments (dark green, light green and khaki) within a complex meadow environment were accomplished at specific wavelengths from 580 nm to 840 nm with 10 nm spectral resolution. The hyper-spectral characteristics of three pigments and various backgrounds were acquired to deduce the intensity contrast information between them. The experimental results demonstrated that the reflex characteristic of three typical camouflage pigments were different from that of natural background. The several wavelengths or wave bands, which were used to detect and recognize the man-made targets placed in typical woodland environment, were obtained by analyzing the experimental data.

Paper Details

Date Published: 15 October 2015
PDF: 6 pages
Proc. SPIE 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology, 96742O (15 October 2015); doi: 10.1117/12.2202582
Show Author Affiliations
Jia-chun Wang, Electronic Engineering Institute (China)
Qi-chao Wang, Electronic Engineering Institute (China)
Zhi-dan Lin, Electronic Engineering Institute (China)
Da-peng Zhao, Electronic Engineering Institute (China)
Jia-ming Shi, Electronic Engineering Institute (China)
Zong-sheng Chen, Electronic Engineering Institute (China)

Published in SPIE Proceedings Vol. 9674:
AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology
Haimei Gong; Nanjian Wu; Yang Ni; Weibiao Chen; Jin Lu, Editor(s)

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