大气气溶胶是影响对地观测定量精度的最主要不确定性因素。随着定量遥感的发展，对气溶胶光学厚度数据的精度提出了更高要求。在广泛应用的基于辐射传输模型大气校正研究中，需要输入气溶胶光学厚度等关键参数，但与对地观测影像数据同时相的气溶胶光学厚度获取较难，而水平能见度作为表征气溶胶光学特性的间接参数可通过广泛分布的气象台站获得，可将能见度转换得到的气溶胶光学厚度数据作为同时相数据输入传输模型进行大气校正计算。本文以实测的能见度和气溶胶光学厚度数据为基础，通过拟合气溶胶标高其随时间的变化对Peterson模型进行了修正。对修正后的模型进行精度验证得到RMSE为0.254，结果表明优化的模型对精度有较大提升。

Atmospheric aerosol is the primary uncertainty of earth observation precision for quantitative analysis. With the development of quantitative remote sensing, there is a higher precision requirement of aerosol optical depth. Aerosol optical depth is a key parameter in atmospheric correction study of radiation transfer model. It is diffi cult to obtain AOD date relevant to earth observation images. However, as an indirect parameter of aerosol optical properties, horizontal visibility can be obtained from widely distributed weather stations. AOD data transformed from visibility are useful in the atmospheric correction of radiation transfer model. In this paper, Peterson model is optimized by fi tting the changes of aerosol scale height based on the measured data of visibility and aerosol optical depth. RMSE of the optimized model is 0.254. The result shows that the optimized model has a higher precision.