Object detection by fusion spectral and polarimetric imagery

The detection of low signature or camouflaged objects in cluttered backgrounds is a crucial problem in tactical reconnaissance. In the past few years, imaging spectral and polarimetric sensors have been evaluated for this application. As the reflection or emission spectral signatures depend on the elemental composition of objects residing within the scene. And the radiation polarization is sensitive to surface features such as relative smoothness or roughness. But each character giving an incomplete representation of an object of interest, it expected that the combination of complementary and redundant characters would be contributed to reduce the false alarm rate, improve the confidence in the target identification and the quality of the scene description as a whole. Anomaly detection and fuzzy integral are used in this paper to combine the spectral and polarimetric information captured by imaging spectrometer and polarimeter. Through experiment and simulation, the effects of detection of low signature or camouflaged targets can be enhanced greatly.