• DocumentCode
    74826
  • Title

    InSAR Local Co-Registration Method Assisted by Shape-From-Shading

  • Author

    Natsuaki, Ryo ; Hirose, Akira

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Syst., Univ. of Tokyo, Tokyo, Japan
  • Volume
    6
  • Issue
    2
  • fYear
    2013
  • fDate
    Apr-13
  • Firstpage
    953
  • Lastpage
    959
  • Abstract
    Interferometric synthetic aperture radar (InSAR) is a useful technology to observe the earth topography. However, a synthetic aperture radar (SAR) interferogram usually includes a lot of rotational points, that is, singular points (SPs). SPs seriously affect the quality of generated digital elevation model (DEM). One of the dominant origins of the SPs is the local distortion in the co-registration of the master and slave images, which are the source of the interferogram. Previously, we proposed a local and fine co-registration method of the master and the slave using the number of SPs as the evaluation criterion (SPEC method). In this paper, we propose an improved version of the SPEC method which uses the shape-from-shading technique additionally for a better adjustment. In comparison to the conventional SPEC method, results indicate that the proposed technique improves the signal-to-noise ratio of the created DEM from InSAR images.
  • Keywords
    digital elevation models; geophysical image processing; geophysical techniques; image registration; radar interferometry; remote sensing by radar; synthetic aperture radar; topography (Earth); Earth topography; InSAR images; InSAR local co-registration method; SAR interferogram; SPEC method; co-registration method; digital elevation model; generated DEM quality; interferometric synthetic aperture radar; master image; shape-from-shading technique; signal-to-noise ratio; slave image; Earth; Estimation; Image resolution; Remote sensing; Signal to noise ratio; Synthetic aperture radar; Correlation; interferometric synthetic aperture radar (InSAR); shape-from-shading (SFS); singular point (SP);
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2012.2219506
  • Filename
    6361249