• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=860704