Regularization of Mars Reconnaissance Orbiter CRISM along‐track oversampled hyperspectral imaging observations of Mars

C.D. Kreisch,J.A. O'Sullivan,R.E. Arvidson, D.V. Politte,L. He,N.T. Stein, J. Finkel,E.A. Guinness,M.J. Wolff,M.G.A. Lapôtre

Icarus（2017）

引用 32|浏览29

暂无评分

摘要

•A maximum log-likelihood algorithm regularizes CRISM oversampled images.•CRISM data are regularized to 12m/pixel, compensating for spatial & spectral blur.•CRISM data are used to predict mineralogy for dunes also examined by Curiosity.•CRISM data are used to map smectites for comparison to Opportunity's measurements.

查看译文

关键词

Mars,Mineralogy,Image processing,Data reduction techniques,Spectroscopy

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要