• DocumentCode
    2673772
  • Title

    Building characterisation in VHR SAR data acquired under controlled EMSL conditions

  • Author

    Brunner, Dominik ; Lemoine, Guido ; Fortuny, Joaquim ; Bruzzone, Lorenzo

  • Author_Institution
    Joint Res. Centre of the Eur. Comm., Ispra
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    2694
  • Lastpage
    2697
  • Abstract
    The upcoming availability of new very high resolution SAR imagery from satellite sensors (e.g. Radarsat-2, TerraSAR-X, COSMOSkymed) has renewed interest in extraction of scene parameters for the characterisation of urban areas. In order to properly face this problem, we have defined a structured and hierarchical research strategy that follows a systematic approach to 3-D building characterisation in VHR SAR data. This research strategy, starting from a theoretical analysis based on the literature, aims at a more depth understanding of the backscattering behaviour in VHR SAR urban images on the basis of empirical tests on different experimental setups. These setups include trials in the EMSL, with the outdoor Linear Synthetic Aperture radar (LISA) and a final validation and tuning of the results on VHR SAR from airborne and satellite platforms. This paper describes the proposed research framework in general, and presents the results obtained from the first set of EMSL experiments aimed at analysing the effect of the viewing and aspect angles, i.e. the orientation of the building structure with respect to the SAR´s azimuthal direction.
  • Keywords
    airborne radar; building; remote sensing by radar; spaceborne radar; synthetic aperture radar; COSMOSkymed; Radarsat-2 satellite; TerraSAR-X; airborne radar; building structure characterisation; controlled EMSL condition; linear synthetic aperture radar; satellite-borne radar; scene parameter extraction; very high resolution SAR imagery; Availability; Buildings; Data mining; Image analysis; Image resolution; Image sensors; Layout; Satellites; Sensor phenomena and characterization; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423398
  • Filename
    4423398