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摘要： 基于高光谱遥感图像数据的大气参数反演和一体化辐射校正具有重要研究意义和应用价值。首先,通过6S模型辐射传输计算分析了EO\|1/Hyperion遥感影像在940和1 130 nm附近水汽吸收区域的光谱吸收特点。其次,采用两通道比值法和三通道比值法,比较了不同波段组合的大气含水量高光谱遥感反演精度并进行了敏感性分析,模拟实验结果表明采用三波段比值算法的相关系数和均方根误差均优于对应的两波段算法。最后,利用张掖地区2008年3景EO\|1 Hyperion高光谱遥感影像,反演了大气含水量,并与地基CE-318太阳分光光度计测量数据进行对比验证,结果表明:1 124 nm水汽吸收通道反演精度优于940 nm,两通道和三通道比值法的均方根误差分别为0.369和0.128 g/cm2,三通道比值方法优于两通道比值方法,与地面观测结果一致。  关键词： 高光谱;  水汽含量反演;  波段比值法;  地表反射     Abstract: Inversion of atmospheric parameters and integrated radiativecorrectionbased on hyperspectral remote sensing image data have important research significance and application value.First of all,this papersimulated the EO-1 Hyperion remote sensing water vapor content through the 6S radiative transfer model,and analyzed the spectrum absorption characteristics near the water vapor absorption regions near the 940 nm and 1 130 nm.Secondly,using the two\|band ratio method and three-band ratio method,both inversion accuracy and sensitivity analysis were carried out by using different bands combined of hyperspectral remote sensing imagery,the results show that both the correlation coefficient R2 and the root mean square error (RMSE) of three-channel ratio algorithm were better than the two-channel algorithm.Finally,we used three EO-1 Hyperion hyperspectral remote sensing images to retrieve the water vapor content,the results demonstrated that the RMSE of using 1 124 nm by two-channel and three-channel ratio methods were 36.9% and 12.8% respectively,which proved that the specific quantitative values of the latter method was much closer to the ground\|level observation data which was provided by ground-based CE-318 sun-photometer measurements,Simulation and verification.The Hyperion inversion results using three-channel ratio method was verified owing better consistency with ground\|based measurement data.

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