• DocumentCode
    513057
  • Title

    Speckle reduction and edge detection for TerraSAR-X single-look dual-polarization imagery

  • Author

    Lee, Ken Yoong ; Bretschneider, Timo Rolf ; Koh, Choo Leng

  • Author_Institution
    EADS Innovation Works Singapore, Singapore, Singapore
  • Volume
    4
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Preliminary work on speckle reduction and edge detection of TerraSAR-X single-look dual-polarization (HH and VV polarizations) spotlight data is reported. A speckle reduction approach is introduced based on a beta-distributed sample squared radius. The performance of the speckle reduction approach was benchmarked against the boxcar filter and assessed with respect to the degree of speckle reduction, radiometric preservation as well as image feature retention. For detecting edges in TerraSAR-X single-look dual-polarization speckled imagery, a constant false alarm rate (CFAR) detector is presented in this paper based on the Wilks´ lambda. The applicability of the edge detector for TerraSAR-X single-look single-polarization intensity data is also discussed.
  • Keywords
    edge detection; geophysical signal processing; image denoising; radar signal processing; remote sensing by radar; synthetic aperture radar; CFAR detector; TerraSAR-X HH polarisation imagery; TerraSAR-X VV polarisation imagery; TerraSAR-X dual polarization imagery; TerraSAR-X single look imagery; Wilks lambda; boxcar filter; constant false alarm rate detector; edge detection; image feature retention; radiometric preservation; speckle reduction; Covariance matrix; Detectors; Filters; Gaussian distribution; Image edge detection; Interference; Polarization; Radiometry; Speckle; Technological innovation; TerraSAR-X; Wilks´lambda; edge detection; sample squared radius; speckle reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417468
  • Filename
    5417468