在红外偏振遥感探测系统中，目标的红外偏振特性受到大气环境因素的影响，其反演场景偏振参量会出现误差，因此，提出基于红外偏振传输理论的红外光谱偏振参量校正算法模型。通过分析大气辐射和传输特性，建立了大气有效透射率模型，研究了不同波段范围、大气环境、传输路径、温度等因素对有效透射率的影响，依据大气有效透射率模型校正偏振参量。实验分析表明，该校正算法模型有效抑制了大气传输对探测目标的红外偏振参量测量的影响，使得偏振参量能更准确地反映场景偏振特性，提高了红外遥感偏振的探测识别能力。

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.