• DocumentCode
    544153
  • Title

    EOSAR — A tool for the blending of real objects into SAR scenes

  • Author

    Bokaderov, Sergei ; Laubach, Marcel ; Schimpf, Hartmut ; Wellig, Peter

  • Author_Institution
    Fraunhofer - FHR / MHS, Werthhoven, Germany
  • fYear
    2011
  • fDate
    14-16 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Algorithms for automatic target recognition and image intelligence have to be trained on the largest possible data base. A way to avoid excessive and costly measurement campaigns is to insert targets that were measured in a tower/turntable configuration, into pre-existing SAR scenes. This blending has to be performed within the SAR processing chain such that the result is identical to a measurement with the target present in the scene during the SAR overflight.
  • Keywords
    object detection; radar signal processing; synthetic aperture radar; EOSAR; SAR scenes; automatic target recognition; blending; image intelligence; largest possible data base; real objects; ISAR; SAR; automatic target recognition; camouflage; image intelligence; scene modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference (GeMIC), 2011 German
  • Conference_Location
    Darmstadt
  • Print_ISBN
    978-1-4244-9225-1
  • Electronic_ISBN
    978-3-9812668-3-2
  • Type

    conf

  • Filename
    5760763