Abstract

A stochastic data-trained method is presented that estimates and compensates for cloud perturbations of hyperspectral IR radiances. The RMS accuracy is ~0.2-0.4K for ~60 selected channels, and the algorithm is computationally efficient.

© 2007 Optical Society of America

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