In infrared polarization remote sensing detection system, the infrared polarization characteristics of the target are affected by atmospheric environmental factors, which influences the inversion scene polarization parameter. So a model of infrared spectrum polarization parameter correction algorithm is proposed to control the influence of the atmosphere, which is based on infrared polarization transmission theory. The atmospheric effective transmission model is established by analyzing the atmospheric radiation and transmission characteristics. Several factors, such as the band range, atmospheric environment, transmission path and temperature, etc., which influence the effective transmission rate, are studied, and the polarization parameters are corrected according to the effective atmospheric transmittance model. Analysis of experiment shows that the correction algorithm model could effectively inhibit the impact on the infrared polarization parameter measurement during atmospheric transmission, and it can reflect the scene polarization characteristics more accurately. The detecting and recognizing abilities of infrared polarization remote sensing are improved.