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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 130nm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-1Hyperion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 124nm水汽吸收通道反演精度优于940nm,两通道和三通道比值法的均方根误差分别为0.369和0.128g/cm2,三通道比值方法优于两通道比值方法,与地面观测结果一致。
Atmospheric parameter inversion and integrated radiation correction based on hyperspectral remote sensing image data have important research significance and application value. First, the spectral absorption characteristics of the EO-1 / Hyperion remote sensing image at 940 and 1130 nm near the water vapor absorption region are calculated and analyzed by 6S model radiative transfer. Secondly, using the two-channel ratio method and the three-channel ratio method, the accuracy of hyperspectral remote sensing inversion of atmospheric moisture content in different bands was compared and the sensitivity analysis was carried out. The simulation results show that the correlation coefficient and mean square Root errors are better than the corresponding two-band algorithm. Finally, the atmospheric water content is retrieved by using 3 EO-1Hyperion hyperspectral remote sensing images of Zhangye region in 2008, and compared with the measured data of CE-318 solar spectrophotometer. The results show that: 1 124nm water vapor absorption channel inversion The accuracy is better than 940nm. The root mean square errors of the two-channel and three-channel ratio methods are 0.369 and 0.128g / cm2, respectively. The three-channel ratio method is superior to the two-channel ratio method, which is consistent with the ground observation.