Spectral smile correction for airborne imaging spectrometers
K. Koloniatis, V. Andronis and V. Karathanassi, Laboratory of Remote Sensing, National Technical University of Athens, Athens, Greece
Abstract
The use of airborne imaging spectrometers has become increasingly popular in the past few years. In order to eliminate spectral distortions in hyperspectral data, regular spectral recalibration of the sensor is needed, but this is not always possible due to the high cost and the time needed. One important spectral distortion is spectral smile. Several correction methods have been developed using spectral smile indicators for spectral distortion quantification. However, works analyzing the effect of other radiometric distortions on these indicators ...
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