Use of Derivative Calculations and Minimum Noise Fraction Transform for Detecting and Correcting the Spectral Curvature Effect (Smile) in Hyperion Images

Earth Observing-1 Hyperion data were found to be relatively noisy and to contain significant cross-track spectral curvature nonlinearity disturbances, known as the smile/frown effect. A method for the correction of spectral curvature effects (smile) in Hyperion images, termed trend line smile correction (TLSC), is presented. The method is based on the… (More)

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