Abstract: A multi-optical parametric imaging system is introduced and established in order to improve the contrast of object in fog and haze weather. A few targets in multiple scenes are observed in fog and haze weather based on system-level radiation response model for multi-optical parametric imaging and separated calibration of model parameters.Results show that the building's windows can be distinguished clear in the images of linear polarization, circular polarization and polarizing angle because of the strong reflected polarization light of the glass. The vehicles in intersection can be hardly seen in the intensity image, and it is fuzzy in degree of linear polarization and angle of polarization images because of the doped polarization information of trees near in fog. The circular polarization image raises the contrast of the vehicles by 20% because the circle polarization of the trees is less in the fog.