• DocumentCode
    41835
  • Title

    Three-Dimensional Phase Unwrapping for Satellite Radar Interferometry, I: DEM Generation

  • Author

    Osmanoglu, Batuhan ; Dixon, Timothy H. ; Wdowinski, S.

  • Author_Institution
    Geophys. Inst., Univ. of Alaska- Fairbanks, Fairbanks, AK, USA
  • Volume
    52
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    1059
  • Lastpage
    1075
  • Abstract
    Determining the Earth´s surface topography and deformation with interferometric synthetic aperture radar involves measurement of phase, which, for a typical coherent radar signal, can only be done modulo 2π. The cycle of ambiguity inherent in the phase measurement has to be unwrapped over all observation dimensions (e.g., azimuth, range, and time) to remove the 2π ambiguity of the phase measurements. For a time series of SAR images, useful for reducing noise in topographic applications or measuring time-varying surface deformation, the necessary steps to connect ambiguous radar phase measurements are more challenging, and the operation may be termed 3-D phase unwrapping. We describe a 3-D unwrapping approach using an extended Kalman filter. Our approach readily exploits existing information, and is robust in the presence of noise. For all tested data sets, it provides improved accuracy compared to existing approaches.
  • Keywords
    Kalman filters; artificial satellites; deformation; digital elevation models; interference suppression; phase measurement; radar imaging; radar interferometry; remote sensing by radar; synthetic aperture radar; time series; topography (Earth); 3D phase unwrapping approach; Earth surface topography; SAR image; ambiguous radar phase measurement; digital elevation model; extended Kalman filter; noise reduction; phase measurement; satellite radar interferometry; synthetic aperture radar; time series; time varying surface deformation measurement; Digital elevation models; kalman filters; radar interferometry; synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2247043
  • Filename
    6510502