• DocumentCode
    814163
  • Title

    Matching map features to synthetic aperture radar (SAR) images using template matching

  • Author

    Caves, Ronald G. ; Harley, Peter J. ; Quegan, Shaun

  • Author_Institution
    Dept. of Appl. & Comput. Math., Sheffield Univ., UK
  • Volume
    30
  • Issue
    4
  • fYear
    1992
  • fDate
    7/1/1992 12:00:00 AM
  • Firstpage
    680
  • Lastpage
    685
  • Abstract
    The feasibility of matching templates representing map features to features in synthetic aperture radar images is investigated. The performance of template matching using cross-correlation (which has no knowledge of speckle) is compared with a correlation measure, based on a Kolmogorov-Smirnov test of fit, which does take speckle into consideration. This is shown to perform better than cross-correlation in simulated images. However, neither method performs well on real data. This is due to the exponential speckle model being inappropriate for linear features in real data. Alternative methods for matching map features to SAR images are suggested
  • Keywords
    geophysical techniques; image processing; microwave imaging; remote sensing by radar; synthetic aperture radar; Kolmogorov-Smirnov test of fit; SAR; cross-correlation; exponential speckle model; geophysics; land surface; map features; measurement; radar image analysis; remote sensing; synthetic aperture radar; technique; template matching; Computational modeling; Computer vision; Pixel; Position measurement; Radar imaging; Radar measurements; Shape measurement; Speckle; Synthetic aperture radar; Testing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.158861
  • Filename
    158861