• DocumentCode
    1918116
  • Title

    Phase Information Reserved Polarimetric SAR Raw Data Compression

  • Author

    Zou, Bin ; Wang, Dewu ; Zhang, Ye ; Wu, Zhilu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2012
  • fDate
    10-12 April 2012
  • Firstpage
    414
  • Lastpage
    414
  • Abstract
    Polarimetric SAR (POLSAR) can offer more information than single-polarized SAR that has the capability to image in all weather and day-night conditions. The multi-polarization mode and wide swath requirements result in a huge amount of data, which may exceed the on-board storage and downlink bandwidth. Effective compression of POLSAR raw data is clearly one of the best solutions. This paper presents a compression method for POLSAR raw data with the relative phase between co-polarized and cross-polarized 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. In order to reserve relative phase information, the phase difference between co-polarized (HH and VV) and cross-polarized (HV and VH) channel is optimally quantized for triangular distribution. Results show that by quantizing the phase difference, the relative phase information between HH (VV) and HV (VH) channel can be well preserved.
  • Keywords
    data compression; image coding; quantisation (signal); radar imaging; radar polarimetry; synthetic aperture radar; HH channel; POLSAR raw data; Rayleigh distribution; VV channel; compression method; effective compression; phase information; polarimetric SAR; raw data compression; Conferences; Data compression; Educational institutions; Image coding; Quantization; Signal to noise ratio; Polarimetric SAR (POLSAR); optimal quantization; raw data compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2012
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-4673-0715-4
  • Type

    conf

  • DOI
    10.1109/DCC.2012.49
  • Filename
    6189295