• DocumentCode
    298882
  • Title

    Optimum look weighting for ScanSAR to avoid modulation of the signal-to-noise ratio

  • Author

    Bamler, Richard

  • Author_Institution
    Deutsche Forschungsanstalt fur Luft- & Raumfahrt, Wessling, Germany
  • Volume
    1
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    596
  • Abstract
    Burst-mode and ScanSAR systems record only short pieces of Doppler histories; the energy contained in each echo ensemble and, hence, the intensity in the final burst image (look) depends on the scatterer´s position relative to the time of the burst event according to the azimuth antenna pattern, an effect known as scalloping. Most systems employ a burst period short enough that adjacent looks overlap allowing for individual weighting of the looks before summation. The paper introduces a new class of look weighting functions for burst-mode and ScanSAR processing that correct for scalloping while simultaneously keeping the S/N ratio constant over azimuth and maximizing the equivalent number of looks
  • Keywords
    geophysical signal processing; geophysical techniques; radar applications; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; SAR; ScanSAR; burst mode; burst period; geophysical measurement technique; image processing; land surface; look weighting function; modulation; optimum look weighting; pulsed radar; remote sensing; scalloping; signal processing; signal-to-noise ratio; spaceborne radar; synthetic aperture radar; terrain mapping; Azimuth; Focusing; History; Radiometry; Real time systems; Receiving antennas; Scattering; Signal to noise ratio; Synthetic aperture radar; Venus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.520465
  • Filename
    520465