• DocumentCode
    1368205
  • Title

    Accurate and efficient determination of the shoreline in ERS-1 SAR images

  • Author

    Mason, David C. ; Davenport, Ian J.

  • Author_Institution
    Dept. of Geogr., Reading Univ., UK
  • Volume
    34
  • Issue
    5
  • fYear
    1996
  • fDate
    9/1/1996 12:00:00 AM
  • Firstpage
    1243
  • Lastpage
    1253
  • Abstract
    Extraction of the shoreline in SAR images is a difficult task to perform using simple image processing operations such as grey-value thresholding, due to the presence of speckle and because the signal returned from the sea surface may be similar to that from the land. A semiautomatic method for detecting the shoreline accurately and efficiently in ERS-1 SAR images is presented. This is aimed primarily at a particular application, namely the construction of a digital elevation model of an intertidal zone using SAR images and hydrodynamic model output, but could be carried over to other applications. A coarse-fine resolution processing approach is employed, in which sea regions are first detected as regions of low edge density in a low resolution image, then image areas near the shoreline are subjected to more elaborate processing at high resolution using an active contour model. Over 90% of the shoreline detected by the automatic delineation process appear visually correct
  • Keywords
    edge detection; geomorphology; geophysical signal processing; geophysical techniques; oceanographic techniques; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; topography (Earth); ERS-1; SAR; active contour model; beach; coastal geomorphology; digital elevation model; edge detection; geophysical measurement technique; image processing; intertidal zone; land surface topography; ocean; radar imaging; radar remote sensing; sea coast; semiautomatic method; shoreline; spaceborne radar; terrain mapping; Active contours; Digital elevation models; Hydrodynamics; Image edge detection; Image processing; Image resolution; Land surface; Sea surface; Signal processing; Speckle;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.536540
  • Filename
    536540