• DocumentCode
    2318382
  • Title

    Comparison of various clues of textures for the discrimination of urban fabric starting from the satellite imagery to high-resolution

  • Author

    Ramdane, Lamia Chaouche

  • Author_Institution
    Comput. Sci. Dept., Univ. of Tlemcen, Chetouane, Algeria
  • fYear
    2012
  • fDate
    24-26 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The extraction of urban areas on a satellite image starting from only spectral information is insufficient. It is necessary therefore that the methods of extracting information from these images perform better. That is possible while trying to exceed the simple spectral analysis, pixel by pixel, while utilizing the vicinity i.e. texture. Among the various approaches, most rely on texture parameters. The textural analysis can contribute and bring an invaluable help to the discrimination and the analysis of the theme built starting from the satellite image; while utilizing approaches which highlight the structure and the texture of built space. This is why the analysis of the urban areas which we study here is founded on an analysis of the texture of the image. We present in what follows a comparison between the various clues of textures for the analysis of urban fabric starting from the satellite image to high-resolution.
  • Keywords
    feature extraction; geophysical image processing; image resolution; image texture; remote sensing; spectral analysis; high-resolution image; image texture; information extraction; satellite image; spectral analysis; spectral information; textural analysis; texture clues; texture parameters; urban areas extraction; urban fabric analysis; Educational institutions; Image segmentation; Indexes; Markov processes; Random variables; Satellites; Urban areas; High Resolution Image; Markov Model; Textural analysis; Variogram; cooccurrence matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and e-Services (ICITeS), 2012 International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-1167-0
  • Type

    conf

  • DOI
    10.1109/ICITeS.2012.6216675
  • Filename
    6216675