• DocumentCode
    3404933
  • Title

    Exploitation of SRTM DEM in InSAR phase unwrapping problem

  • Author

    Hou Jianguo ; Chu Yu ; Yang Chengsheng

  • Author_Institution
    Inst. of Geol. Eng. & Surveying, Chang´an Univ., Xi´an, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    2222
  • Lastpage
    2226
  • Abstract
    A novel approach is proposed in this paper to exploit the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) in the interferometric synthetic aperture radar (InSAR) data processing. The proposed algorithm includes three steps: the first step is to patch the void cells in the SRTM DEM; the second step is to determine a one-to-one correspondence between the interferogram and the SRTM DEM; the third step is to eliminate the phase trend between the original and simulated interferogram. This algorithm can be applied to facilitate phase unwrapping problem. Conventional techniques approach phase unwrapping as an optimization problem, where the total branch-cuts or the gradient errors, etc. are to be minimized. Generally speaking, they consider phase unwrapping as a blind procedure, i.e., without any external guidance. The purpose of this paper is to fill this gap by introducing the SRTM DEM as guidance for phase unwrapping. Some experimental results with JESR verify the theoretical analysis and show that the method can improve the performance of the phase unwrapping to a great extent.
  • Keywords
    digital elevation models; gradient methods; optimisation; synthetic aperture radar; InSAR data processing; InSAR phase unwrapping problem; SRTM DEM; digital elevation model; gradient errors; interferometric synthetic aperture radar; optimization problem; shuttle radar topography mission; Atmospheric modeling; Orbits; Pixel; Polynomials; Spaceborne radar; Synthetic aperture radar; Interferometric synthetic aperture radar (InSAR); Shuttle Radar Topography Mission (SRTM); interferogram simulation; phase trend analysis; phase unwrapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5655860
  • Filename
    5655860