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This paper presents a new factorization approach for hyperspectral data based on non-negativity constraints. The method does not assume a one to one correspondence between the pseudo-rank of the data matrix and the number of unique components present. Rather it assumes that the number of unique components is related to the number of extreme points of the cone formed by the data matrix. The cone is...
Infrared radiance fluctuations in the atmosphere result from fluctuations in the density of atmospheric species, individual molecular state populations, and kinetic temperatures along the sensor line of sight (LOS). As part of the SHARC-4 development program, a model for the prediction of atmospheric background radiance fluctuations was constructed. It predicts a two dimensional radiance spatial...
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