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Target classification using active laser polarimetric imaging technique

Laser polarimetric imaging has great potential application to classify targets which could not be realized by intensity imaging. A polarimetric imaging system is built to acquire two kinds of images, intensity and polarization degree coded images, simultaneously. By fusing the intensity and polarization degree images with pseudo-color encoding technique, we have achieved the classification of different kinds of targets with similar characteristics. Preliminary results show that higher contrast and better resolution images classified with polarimetric technique could be obtained after speckle reduction. Coherent speckle noise can be reduced with lowpass filter by treating it as high frequency noise. And lowpass filter outperforms the normally used median filter in speckle reduction.