• DocumentCode
    3348903
  • Title

    Multibaseline gradient ambiguity resolution to support Minimum Cost Flow Phase Unwrapping

  • Author

    Lachaise, Marie ; Bamler, Richard ; Gonzalez, Fernando Rodriguez

  • Author_Institution
    Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Wessling, Germany
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4411
  • Lastpage
    4414
  • Abstract
    The TanDEM-X Mission has as primary objective to generate a high resolution global Digital Elevation Model. This paper proposes a new method for multibaseline Phase Unwrapping which is the critical point of this generation. We propose to combine both Minimum Cost Flow (MCF) and Maximum a Posteriori (MAP) estimation. The latter is used to solve phase gradient ambiguities. The problem is posed as an energy minimization one and solved using Belief Propagation (BP) which is an iterative process. Nevertheless, although very good results are obtained on loopy graphs, it is not guaranteed to converge. Thus, phase unwrapping of the most accurate interferogram is finally performed with the MCF algorithm and takes as input the unwrapped gradients.
  • Keywords
    artificial satellites; belief networks; digital elevation models; estimation theory; gradient methods; minimisation; synthetic aperture radar; MAP estimation; MCF algorithm; TanDEM-X mission; belief propagation; energy minimization; high resolution global digital elevation model; iterative process; loopy graphs; maximum a posteriori estimation; minimum cost flow phase unwrapping; multibaseline gradient ambiguity resolution; multibaseline phase unwrapping; phase gradient ambiguity; unwrapped gradients; Algorithm design and analysis; Atmospheric modeling; Belief propagation; Joints; Maximum likelihood estimation; Minimization; Belief Propagation; Minimum Cost Flow; TanDEM-X; multibaseline phase unwrapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652361
  • Filename
    5652361