@conference{d4a01b036b6742a1a6c47895edf3e2c8,
title = "Resolution Analysis of Regularized Maximum Log-likelihood Reconstruction Method for CRISM Hyperspectral Data",
author = "Li He and Joseph O'Sullivan and Politte, {Daniel V.} and Arvidson, {Raymond E.}",
note = "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. {\textcopyright} 2017 Optical Society of America PDF Article You do not have subscription access to this journal.; Applied Industrial Optics: Spectroscopy, Imaging and Metrology 2017 ; Conference date: 01-01-2017",
year = "2017",
doi = "10.1364/3D.2017.JTu5A.16",
language = "American English",
}