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 MODTRANTM5 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.