• DocumentCode
    1681036
  • Title

    Texture and color based cloud detection

  • Author

    Baseski, Emre ; Cenaras, Caglar

  • Author_Institution
    HAVELSAN A.S., Ankara, Turkey
  • fYear
    2015
  • Firstpage
    311
  • Lastpage
    315
  • Abstract
    With the increasing number of aerial and satellite image sources, automated interpretation algorithms are becoming more and more crucial. Automatically determining the cloud coverage reduces image preprocessing time and aids automatic image exploitation algorithms about where to look. The proposed method makes use of both color and texture characteristics of cloud regions. The image is divided into subimages in order to perform initial color and edge analysis. Further analysis is done by classifying patches as cloud and non-cloud with respect to texture based features.
  • Keywords
    clouds; geophysical image processing; image colour analysis; image texture; remote sensing; aerial image source; automated interpretation algorithm; automatic image exploitation algorithm; cloud color characteristics; cloud coverage; cloud texture characteristics; color-based cloud detection; edge analysis; image preprocessing time reduction; initial color analysis; satellite image source; texture-based cloud detection; texture-based feature; Classification algorithms; Clouds; Image color analysis; Image edge detection; Remote sensing; Satellites; Support vector machines; cloud detection; homogoneos texture descriptor; remote sensing; svm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies (RAST), 2015 7th International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-7760-7
  • Type

    conf

  • DOI
    10.1109/RAST.2015.7208361
  • Filename
    7208361