@inproceedings{5dbc11b92f994ca287888af8bebc58d0,
title = "Resolution Analysis of Regularized Maximum Log-likelihood Reconstruction Method for CRISM Hyperspectral Data",
abstract = "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.",
author = "L. He and O'Sullivan, \{J. A.\} and Politte, \{D. V.\} and Arvidson, \{R. E.\}",
note = "Publisher Copyright: {\textcopyright} 2017 Optical Society of America.; Applied Industrial Optics: Spectroscopy, Imaging and Metrology, AIO 2017 ; Conference date: 26-06-2017 Through 29-06-2017",
year = "2017",
language = "English",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
booktitle = "Applied Industrial Optics",
}