• DocumentCode
    3108068
  • Title

    Feature selection analysis of WorldView-II data for similar urban objects distinction

  • Author

    Novack, Tessio ; Kux, Hermann J H ; Esch, Thomas ; Stilla, Uwe

  • Author_Institution
    Nat. Inst. for Space Res., INPE, São José dos Campos, Brazil
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    389
  • Lastpage
    392
  • Abstract
    Feature selection methods have recently become very attractive to remote sensing researches as new object-based image analysis systems have made available tens or even hundreds of spectral, textural and geometrical features to be used in classification routines. The aim of this study is to investigate, based on different feature selection algorithms, whether the additional bands of the WorldView II sensor are indeed helpful for the discrimination of similar urban targets.
  • Keywords
    feature extraction; geophysical image processing; image classification; image texture; remote sensing; WorldView-II data; feature selection analysis; geometrical feature; image classification; object based image analysis system; remote sensing research; spectral feature; textural feature; urban objects distinction; Algorithm design and analysis; Classification algorithms; Image segmentation; Pixel; Radio frequency; Remote sensing; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2011 Joint
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-8658-8
  • Type

    conf

  • DOI
    10.1109/JURSE.2011.5764801
  • Filename
    5764801