• DocumentCode
    483864
  • Title

    Automated Information Extraction from TerraSAR-X Data: The Content Map

  • Author

    Datcu, M. ; Cerra, D. ; Chaabouni, H. ; de Miguel, A. ; Molina, D. Espinoza ; Schwarz, G. ; Soccorsi, M.

  • Author_Institution
    German Aerosp. Center (DLR), Remote Sensing Technol. Inst. (IMF), Wessling
  • Volume
    1
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    While typical remote sensing imaging instruments produce more and more data, what we miss today are reliable tools for automated information extraction form these images. In the following, we propose a so-called Content Map, a novel Earth Observation value adding product. Basically, it comprises several class files and a viewer showing the different classes of land use and objects contained in the corresponding image data. In order to avoid processing delays, the class files have to be generated in an unsupervised mode as a real time product; thus, interactive user interactions have to be limited to training and testing intervals. As typical examples we use image data of the German TerraSAR-X mission that produces SAR image data in a variety of different modes.
  • Keywords
    feature extraction; geophysical techniques; geophysics computing; remote sensing by radar; synthetic aperture radar; Content Map; Earth Observation value adding product; German TerraSAR-X mission; SAR image data; automated information extraction; land use; remote sensing imaging instruments; Algorithm design and analysis; Data mining; Feature extraction; Image processing; Information theory; Instruments; Optical sensors; Polarization; Remote sensing; Testing; Remote sensing; SAR; TerraSAR-X; feature selection; information extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4778798
  • Filename
    4778798