DocumentCode :
860704
Title :
Distributed visual information management in astronomy
Author :
Murtagh, Fionn ; Starck, Jean-Luc ; Louys, Mireille
Author_Institution :
Queen´´s Univ., Belfast, UK
Volume :
4
Issue :
6
fYear :
2002
Firstpage :
14
Lastpage :
23
Abstract :
Resolution scale is central to large-image visualization, offering one way to address astronomers´ need to access and retrieve data. In addition, multiple-resolution information and entropy are closely related to compression rate, all three of which are related to the relevance and importance of information.
Keywords :
astronomy computing; data compression; entropy; image coding; compression rate; distributed visual information management; entropy; large-image visualization; multiple-resolution information; Astronomy; Catalogs; Data visualization; Entropy; Image coding; Image resolution; Information management; Information retrieval; Infrared imaging; Signal to noise ratio;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/MCISE.2002.1046592
Filename :
1046592
Link To Document :
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