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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