• DocumentCode
    384420
  • Title

    Edge and line detection in polarimetric SAR images

  • Author

    Borghys, D. ; Lacroix, V. ; Perneel, C.

  • Author_Institution
    R. Mil. Acad., Signal & Image Centre, Brussels, Belgium
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    921
  • Abstract
    A scheme for detecting edges and lines in multichannel SAR images is proposed. The line detector is constructed from the edge detector. The latter is based on multivariate statistical hypothesis tests applied to log-intensity SAR images. The raw results are vectorized by a traditional bright line extraction process. The scheme is illustrated by extracting dark linear structures on various full-polarimetric SAR images.
  • Keywords
    edge detection; statistical analysis; synthetic aperture radar; dark linear structures extraction; edge detection; line detection; log-intensity SAR images; multichannel SAR images; multivariate statistical hypothesis tests; polarimetric SAR images; traditional bright line extraction process; Data mining; Detectors; Image edge detection; Infrared sensors; Pixel; Remote sensing; Satellites; Speckle; Synthetic aperture radar; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048455
  • Filename
    1048455
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=384420