Reduction of instrument-dependent noise in hyperspectral image data using the principal component analysis: Applications to Galileo NIMS data

Planetary and Space Science

Volumn 56, Issue 3-4, 2008, Pages 406-419

  Stephan, K ^a   Hibbitts, C A ^b   Hoffmann, H ^a   Jaumann, R ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

Author keywords

Galileo; Ganymede; Icy satellites; Imaging spectroscopy; NIMS; Principal component analysis

Indexed keywords

IMAGING SYSTEMS; NOISE ABATEMENT; PRINCIPAL COMPONENT ANALYSIS; SIGNAL TO NOISE RATIO; SPECTRUM ANALYZERS;

GALILEO; GANYMEDE; IMAGING SPECTROSCOPY;

SPACE APPLICATIONS;

EID: 39549110227     PISSN: 00320633     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pss.2007.11.021     Document Type: Article

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