• DocumentCode
    1327994
  • Title

    Data volume reduction for single-look polarimetric imaging radar data

  • Author

    Van Zyl, Jakob J. ; Burnette, Charles F.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    29
  • Issue
    5
  • fYear
    1991
  • fDate
    9/1/1991 12:00:00 AM
  • Firstpage
    784
  • Lastpage
    786
  • Abstract
    An 8-b quantization scheme to reduce the data volume for single-look complex scattering matrix data measured by polarimetric imaging radar systems is described. The scattering matrices are not symmetrized before compression, thereby retaining information about background noise and system effects. The data volume is reduced by a factor of 3.2. It is shown, with measured data, that the signal to quantization noise ratio for the compression scheme is more than 35 dB for the cross-polarized channels, and more than 45 dB for the copolarized channels
  • Keywords
    data compression; radar theory; remote sensing by radar; 8 bit; background noise; copolarized channels; cross-polarized channels; data compression scheme; quantization scheme; signal to quantization noise ratio; single-look complex scattering matrix data; single-look polarimetric imaging radar data; system effects; Background noise; Compression algorithms; Data compression; Noise measurement; Propulsion; Quantization; Radar imaging; Radar measurements; Radar polarimetry; Radar scattering; Signal to noise ratio; Symmetric matrices; Volume measurement;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.83994
  • Filename
    83994