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Modeling the Effects of Atmospheric Propagation for Spectral Libraries of Natural Backgrounds

机译:模拟自然背景光谱库的大气传播效应

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摘要

The statistics of natural backgrounds extracted from an Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) hyperspectral datacube collected over Fort AP Hill, VA, were used to demonstrate the effects of the two atmospheric components of a statistical end-to-end performance prediction model. New capabilities in MODTRAN~TM5 were used to generate coefficients for linear transformations used in the atmospheric transmission and compensation components of a typical end-to-end model. Model radiance statistics, calculated using reflectance data, is found to be similar to the original AVIRIS radiance data. Moreover, if identical atmospheric conditions are applied in the atmospheric transmission and in the atmospheric compensation model components and the effects of sensor noise are disregarded, the resulting reflectance statistics are identical to the original reflectance statistics.
机译:从在弗吉尼亚州Fort AP Hill上收集的机载可见和红外成像光谱仪(AVIRIS)高光谱数据立方体提取的自然本底统计数据用于证明统计端到端性能预测模型的两个大气成分的影响。 MODTRAN〜TM5中的新功能用于生成典型的端到端模型的大气传输和补偿组件中使用的线性变换系数。发现使用反射率数据计算的模型辐射率统计信息与原始AVIRIS辐射率数据相似。此外,如果在大气传输和大气补偿模型组件中应用相同的大气条件,并且不考虑传感器噪声的影响,则所得的反射率统计信息将与原始反射率统计信息相同。

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