• DocumentCode
    317641
  • Title

    Statistical modelling of sidescan sonar images

  • Author

    Dunlop, Jonathan

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. Coll. London, UK
  • Volume
    1
  • fYear
    1997
  • fDate
    6-9 Oct 1997
  • Firstpage
    33
  • Abstract
    The K-distribution models the statistics of the backscatter from a coherent imaging process. It has successfully modelled radar backscatter from land and the sea surface, but it does not appear to have been applied to sonar images of a range of seabed sediment types. This paper shows that the K-distribution provided a good fit to sidescan sonar images of regions of large particles such as stones and gravel, but did not fit fine sediments such as mud. The generalised K-distribution provided a good fit to all the sediment types considered and should eventually produce excellent region classification and target detection algorithms. A number of physical mechanisms that may be responsible for the Ricean speckle component of the generalised K-distribution have been put forward
  • Keywords
    backscatter; geophysical techniques; oceanographic techniques; seafloor phenomena; sediments; sonar; sonar imaging; speckle; K-distribution model; Ricean speckle; backscatter; coherent imaging; fine sediment; geophysical measurement technique; gravel; marine sediment; mud; ocean; region classification; sea; seabed; seafloor geology; sediment type; sidescan sonar image; sonar imaging; statistical model; statistical modelling; statistics; stones; target detection algorithm; Backscatter; Land surface; Object detection; Radar imaging; Sea surface; Sediments; Sonar applications; Speckle; Statistics; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS '97. MTS/IEEE Conference Proceedings
  • Conference_Location
    Halifax, NS
  • Print_ISBN
    0-7803-4108-2
  • Type

    conf

  • DOI
    10.1109/OCEANS.1997.634331
  • Filename
    634331