n equipment test,conventional optical imaging system is very vulnerable to meteorological environment(such as haze,sand and dust),which results in the detection distance,imaging effect and measurement accuracy being greatly limited,thus seriously affecting the imaging effect of the target and the acquisition of key parameters. How to enhance the optical detection and recognition ability and imaging quality under haze conditions has become a key problem to be solved urgently. In this paper,based on the advantage of polarization imaging and dark channel priori principle,a polarization image de-fogging enhancement algorithm is proposed. First,the polarization characteristics are extracted from the collected polarization images,and the polarization degree and polarization angle are calculated. At the same time,the sky region is automatically extracted based on the region growth algorithm,and the atmospheric light parameters are estimated for the sky region,then the atmospheric light polarization degree and polarization angle parameters are estimated. Then,the atmospheric light intensity at infinite distances is obtained by combining the dark channel priori principle,and then the atmospheric light intensity at infinite distances The atmospheric light intensity of each pixel is calculated. Finally,based on the atmospheric physical degradation model,image dehazing and enhancement are realized. In case analysis and verification,through subjective evaluation and objective evaluation,the method proposed in this paper is compared with other common methods. The actual results show that,the algorithm has strong ability of fog removal and enhancement,and it can effectively improve the detection and recognition ability and imaging quality of the optical system. It is of great significance for acquiring key parameters of weapon equipment under haze conditions.