• DocumentCode
    37691
  • Title

    Characterization of Facade Regularities in High-Resolution SAR Images

  • Author

    Auer, Stefan ; Gisinger, Christoph ; Junyi Tao

  • Author_Institution
    Dept. of Remote Sensing Technol., Tech. Univ. Munchen (TUM), München, Germany
  • Volume
    53
  • Issue
    5
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    2727
  • Lastpage
    2737
  • Abstract
    The grammar of facade structures is often related to regularly distributed signature patterns in high-resolution synthetic aperture radar (SAR) images. Given those patterns in the imagery, they should be used as a source of information for identifying changes related to the facade. This paper presents a method for characterizing the layover area pertinent to regularly arranged facade structures, formulated on a general basis for single azimuth/range SAR images and geocoded SAR images. The analysis follows assumptions on the intensity distribution, the linear arrangement, and the regularity of point-like signatures. Two case studies on facades are presented, which confirm the applicability of the method for different building types. Based on that, the potentials and limitations of the algorithm are discussed with respect to applications such as change detection and persistent scatterer interferometry.
  • Keywords
    geophysical image processing; image resolution; radar imaging; remote sensing by radar; synthetic aperture radar; facade regularities; facade structures; geocoded SAR images; high resolution SAR images; intensity distribution; linear arrangement; persistent scatterer interferometry; point-like signature; regularly distributed signature patterns; synthetic aperture radar; Algorithm design and analysis; Azimuth; Buildings; Context; Data mining; Feature extraction; Synthetic aperture radar; Grouping; TerraSAR-X; high-resolution synthetic aperture radar (SAR); pattern recognition; simulation; spectral analysis; urban;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2014.2364076
  • Filename
    6954425