With the recently increasing influence of haze/fog and other inclement weathers and the expanding impact of smoke and dust in the battlefield on military operations, the identification, detection and recognition of targets in smoke and fog environment draw much more attentions. Thus based on this point, the polarization detection defogging technology based on multi-wavelet fusion is proposed. This technology is built on the target polarization detection and simultaneously combined with the merits of multi-wavelet, such as symmetry, orthogonality and compact support. According to the features of the high and low frequency coefficients, the different fusion rules are adopted for the fusion of target polarization information. This algorithm is much easier to get the prominent target contour and detail information than the traditional wavelet fusion. A large number of outfield target detection experiments are applied in the actual fog and haze environment. Both the subjective and objective evaluation criteria show that this technology has obvious advantages in the subjective visual effect and the objective evaluation aspects of contrast, definition, spatial frequency and so on, which can increase the identification efficiency of targets in fog environment.