• DocumentCode
    1218592
  • Title

    Geometric distortions in side-scan sonar images: a procedure for their estimation and correction

  • Author

    Cobra, Daniel T. ; Oppenheim, Alan V. ; Jaffe, Jules S.

  • Author_Institution
    MIT, Cambridge, MA, USA
  • Volume
    17
  • Issue
    3
  • fYear
    1992
  • fDate
    7/1/1992 12:00:00 AM
  • Firstpage
    252
  • Lastpage
    268
  • Abstract
    A procedure is introduced for the estimation and correction of geometric distortions frequently observed in side-scan sonar images as a result of motion instabilities of the sonar towfish. This procedure estimates geometric distortions from the image itself, without requiring navigational or altitude measurements. Estimates of the local degree of geometric distortion are obtained by cross-correlating segments of adjacent lines of the image. A mathematical model for the distortions is derived from the geometry of the problem and is applied to these estimates to reconstruct the sampling pattern on the seabed, under the assumption of a planar bottom. The estimated sampling pattern is then used for resampling the image to correct the geometric distortions. The model parameters may also be used for calculating approximate estimates of the attitude parameters of the towfish. A simulation is employed to evaluate the effectiveness of this technique and examples of its application to high-resolution side-scan sonar images are provided
  • Keywords
    acoustic signal processing; correlation methods; estimation theory; sonar; underwater sound; cross-correlating segments; geometric distortions; mathematical model; navigational measurement; planar bottom; sampling pattern; seabed; side-scan sonar images; simulation; sonar towfish; sonograph; Distortion measurement; Geometry; Image reconstruction; Image sampling; Image segmentation; Mathematical model; Motion estimation; Sonar applications; Sonar measurements; Sonar navigation;
  • fLanguage
    English
  • Journal_Title
    Oceanic Engineering, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0364-9059
  • Type

    jour

  • DOI
    10.1109/48.153442
  • Filename
    153442