• DocumentCode
    484227
  • Title

    Determening the optimum compromise between SAR data compression and radiometric performance -An approach based on the analysis of TerraSAR -X data-

  • Author

    Younis, Marwan ; Boer, Johannes ; Ortega, Carlos ; Schulze, Daniel ; Huber, Sigurd ; Mittermayer, Josef

  • Author_Institution
    Microwaves & Radar Inst., German Aerosp. Center, Wessling
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Data compression is crucial for modern synthetic aperture radar systems where high resolution or large coverage may result in huge amounts of raw data. Modern satellite systems, such as TerraSAR-X, give complete flexibility in choosing between various compression levels. This, however, results in additional effort to decide on the suitable compression level used, which may depend on the operation mode, polarization, scene backscatter, etc. The paper describes the approach used in the case of TerraSAR-X and shows the result of analyzing the data acquired during the commissioning phase. The methology is considered novel in the sense that it combines SAR measured data analysis with theoretical, i.e. model based simulations, results and later combines theory and measured data to extract optimum compression levels.
  • Keywords
    analogue-digital conversion; backscatter; data acquisition; data compression; geophysics computing; remote sensing by radar; synthetic aperture radar; SAR data; TerraSAR-X analysis; commissioning phase; data acquisition; data compression; operation mode; optimum compromise determination; polarization; satellite systems; scene backscatter; synthetic aperture radar systems; Analytical models; Backscatter; Data analysis; Data compression; Data mining; Layout; Performance analysis; Polarization; Radiometry; Satellite broadcasting;
  • 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.2008.4779294
  • Filename
    4779294