Resolution Analysis of Regularized Maximum Log-likelihood Reconstruction Method for CRISM Hyperspectral Data

Linyun He,Joseph A. O'Sullivan,D. V. Politte,Raymond E. Arvidson

Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP) (2017), paper JTu5A.16（2017）

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摘要

The regularized maximum log-likelihood method improves resolution and de-noises Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) hyperspectral date-cubes. The method accounts for spatially nonuniform samples acquired in an along-track oversampled mode to avoid spatial artifacts.

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