• DocumentCode
    2108735
  • Title

    Independent component analysis for sea ice SAR image classification

  • Author

    Karvonen, Juha ; Similä, Markku

  • Author_Institution
    Finnish Inst. of Marine Res., Finland
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1255
  • Abstract
    Independent component analysis (ICA) is used to compute sets of basis vectors for image data, i.e. for small randomly selected image windows. From these basis vectors a smaller set is selected to be used in classifying sea ice SAR images. A SAR image window is classified based on its projection to the selected basis vectors
  • Keywords
    geophysical signal processing; image classification; oceanographic techniques; radar imaging; sea ice; ICA; basis vectors; image data; independent component analysis; sea ice SAR image classification; small randomly selected image windows; Covariance matrix; Data analysis; Filtering; Image classification; Independent component analysis; Mutual information; Principal component analysis; Sea ice; Sea measurements; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.976810
  • Filename
    976810
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2108735