• DocumentCode
    1398898
  • Title

    Assessment of System Polarization Quality for Polarimetric SAR Imagery and Target Decomposition

  • Author

    Wang, Yanting ; Ainsworth, Thomas L. ; Lee, Jong-Sen

  • Author_Institution
    Comput. Phys., Inc., Springfield, VA, USA
  • Volume
    49
  • Issue
    5
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    1755
  • Lastpage
    1771
  • Abstract
    The quality of polarimetric synthetic aperture radar (PolSAR) imagery and its polarimetric decompositions depends on the accuracy of polarimetric observations of the SAR system and its calibration. Polarization distortions on the polarimetric measurement can be incurred due to nonideal system polarization quality and propagation factors, such as channel imbalance, crosstalk, and Faraday rotation at lower frequencies. All these distortions have varying impacts on different target types as well as different decomposition methods. In this paper, we assess the polarization quality of the PolSAR system in the context of polarimetric imagery analysis and quantify the various effects of polarization distortions on polarization target decompositions. A generic metric is defined to measure the polarization purity of the system. Considering the fact that target decomposition plays an important role in imagery analysis, we apply several widely used decomposition methods to showcase the polarimetric system requirement based on the defined metric. We demonstrate that this metric can be used for radar system design and polarimetric data calibration.
  • Keywords
    radar imaging; synthetic aperture radar; Faraday rotation; PolSAR imagery; channel imbalance; crosstalk; generic metric; lower frequency; polarimetric SAR imagery; polarimetric data calibration; polarimetric decomposition; polarization distortion; radar system design; system polarization quality assessment; target decomposition; Calibration; Crosstalk; Distortion measurement; Faraday effect; Measurement errors; Scattering; Calibration; radar polarimetry; synthetic aperture radar (SAR); system analysis and design; target decomposition;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2010.2087342
  • Filename
    5661826