• DocumentCode
    2116496
  • Title

    Reducing the computation time of the Isodata and K-means unsupervised classification algorithms

  • Author

    Phillips, Steven

  • Author_Institution
    AT&T Labs.-Res., USA
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1627
  • Abstract
    Describes a sequence of methods to improve the running-time of the Isodata and K-means algorithms. The methods are compared on a range of remotely-sensed data sets, and show consistent and dramatic speedups.
  • Keywords
    image classification; remote sensing; unsupervised learning; Isodata algorithm; K-means algorithm; computation time; remotely-sensed data sets; unsupervised classification algorithms; Acceleration; Algorithm design and analysis; Classification algorithms; Image analysis; Image sensors; Pixel; Remote sensing; Satellites; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1026202
  • Filename
    1026202
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2116496