• DocumentCode
    2190541
  • Title

    A novel method for dual channel POLSAR raw data compression

  • Author

    Kang, Lihong ; Zou, Bin ; Wang, Dewu ; Zhang, Lamei ; Zhang, Ye

  • Author_Institution
    Dept. of Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4561
  • Lastpage
    4564
  • Abstract
    Polarimetric SAR (POLSAR) can offer more information than single-polarized SAR. At the same time dual-channel POLSAR results in much more data than the single-polarized SAR which is difficult to process on board. This paper presents a method for dual channel POLSAR raw data compression with the relative phase between HH and HV channel being reserved. In this method, the amplitude is quantized for Rayleigh distribution with the phase of HH and VV channel quantized for uniform distribution. The phase difference between HH and HV channel is optimally quantized for triangular distribution. Results show that by quantizing the phase difference, the relative phase information between HH and HV channel can be well preserved. Also the method can be used in full-polarimetric mode.
  • Keywords
    Rayleigh channels; data compression; geophysical image processing; radar imaging; radar polarimetry; synthetic aperture radar; HH channel; HV channel; Rayleigh distribution; VV channel; dual channel POLSAR raw data compression; full-polarimetric mode; optimal quantization; phase difference quantization; polarimetric SAR; relative phase information; triangular distribution; uniform distribution; Bit rate; Data compression; Encoding; Image coding; Quantization; Signal to noise ratio; Synthetic aperture radar; POLSAR; optimal quantization; phase; raw data compression; triangular distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350455
  • Filename
    6350455