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Log-Likelihood Method of Reducing Noise in CRISM Along-Track Oversampled Hyperspectral Images

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Abstract

CRISM hyperspectral measurements are modeled accounting for spatial and spectral pointspread functions. Surface hyperspectral image recovery is ill-posed. Penalized maximum likelihood estimates yield reduced noise in each spectrum estimate, allowing identification of subtle spectral absorptions.

© 2015 Optical Society of America

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