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Proceedings Paper

Camouflaged target detection based on visible and near infrared polarimetric imagery fusion
Author(s): Pu-cheng Zhou; Feng Wang; Hong-kun Zhang; Mo-gen Xue
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Paper Abstract

How to distinguish the camouflage from its natural background is a challenging problem in target detection. As sensing technology advances, more and more information can be extracted from the scenes of interest. This includes spatial information captured by cameras, spectral information retrieved from spectrometers, and polarimetric information obtained by polarimeters. Spatial, spectral, and polarimetric information reveal the different characteristics of objects and background. While the spectral information tend to tell us about the distribution of material components in a scene, polarimetric information tells us about surface feature, shape, shading, and roughness. Polarization tends to provide information that is largely uncorrelated with spectral and intensity images, thus has the potential to enhance many fields of optical metrology. However, both spectral and polarimetric detection systems may suffer from substantial false alarms and missed detection because of their respective background clutter. Since polarimetric and multispectral imaging can provide complementary discriminative information, to distinguish the camouflage target from its natural background, in this paper the visible and near infrared polarimetric information is jointly utilized using imagery fusion technology. A polarimetric imagery fusion algorithm was first proposed based on polarized modified soil adjusted vegetation index to distinguish objects under vegetable environment. Then, the spectral and polarimetric information was fused by using false-color mapping and fuzzy c-means clustering algorithm for more robust object separation. Experimental results have shown that better identification performance was achieved.

Paper Details

Date Published: 18 August 2011
PDF: 7 pages
Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 81940Y (18 August 2011); doi: 10.1117/12.899590
Show Author Affiliations
Pu-cheng Zhou, Hefei New Star Applied Technology Research Institute (China)
Feng Wang, Hefei New Star Applied Technology Research Institute (China)
Hong-kun Zhang, Hefei New Star Applied Technology Research Institute (China)
Mo-gen Xue, Hefei New Star Applied Technology Research Institute (China)


Published in SPIE Proceedings Vol. 8194:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications
Makoto Ikeda; Nanjian Wu; Guangjun Zhang; Kecong Ai, Editor(s)

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