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Proceedings Paper

A new polarization image fusion method based on Choquet fuzzy integral
Author(s): Hong-wu Yuan; Qin-chao Huang; Guo-ming Xu; Cheng-liang Yin
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Paper Abstract

Polarization imaging provides abundant information of object, i.e. surface roughness, texture, physical and chemical characters. Independently, intensity and polarimetric features give incomplete representations of an object of interest. These representations are complementary, and it is expected that the combination of complementary information will reduce false alarms, improve confidence in target identification, and improve the quality of the scene description. Polarization parameter images include the degree of polarization, the angle of polarization, azimuth angle etc. There are not only strong correlations between polarization parameter images, but also different characters, which gives image fusion challenges, namely, how to find the optimal polarization parameter image to take part in image fusion with intensity image. This paper presents a polarization image fusion method based on choquet fuzzy integral. Using this algorithm the best polarization parameter image and intensity image are fused, and the fusion result is evaluated. The experiments show that this method could automatically select the best polarization parameter images from multi-polarization parameters image, the resulting images can yield more detail and higher contrast, and can reduce the noise effectively. It is conducive to the subsequent target detection.

Paper Details

Date Published: 11 September 2013
PDF: 11 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89074G (11 September 2013); doi: 10.1117/12.2034736
Show Author Affiliations
Hong-wu Yuan, New Star Research Institute of Applied Technology (China)
Qin-chao Huang, New Star Research Institute of Applied Technology (China)
Guo-ming Xu, New Star Research Institute of Applied Technology (China)
Cheng-liang Yin, New Star Research Institute of Applied Technology (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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