• DocumentCode
    33388
  • Title

    Mosaic method of side-scan sonar strip images using corresponding features

  • Author

    Jianhu Zhao ; Aixue Wang ; Hongmei Zhang ; Xiao Wang

  • Author_Institution
    Sch. of Geodesy & Geomantic, Wuhan Univ., Wuhan, China
  • Volume
    7
  • Issue
    6
  • fYear
    2013
  • fDate
    Aug-13
  • Firstpage
    616
  • Lastpage
    623
  • Abstract
    The towing operation mode of side-scan sonar system (SSS) easily results in dislocations and distortions of targets in the SSS strip image, brings difficulty to the mosaic of these strip images by the geocoding method or the tessellation-line method and affects the recognition and understanding for seabed relief. Therefore this study proposes a new method, namely the segment-image mosaic method based on corresponding features of the two adjacent SSS strip images. Through SSS image preprocessing, segment match based on corresponding features and image fusion in the common coverage area based on wavelet transformation, this new method overcomes the drawbacks of the traditional methods of image mosaic, fulfils well the mosaic of SSS strip images and finally a whole-area SSS image is formed. Experiments have verified that the mosaic image formed by the new method can correctly reflect the position, shape and distribution of seabed targets, which is helpful to understand seabed relief.
  • Keywords
    geophysical image processing; image fusion; image segmentation; object detection; oceanography; shape recognition; sonar imaging; wavelet transforms; SSS image preprocessing; SSS strip image; image fusion; image segment match; seabed relief recognition; seabed relief understanding; seabed target distribution; seabed target position; seabed target shape; segment-image mosaic method; side-scan sonar strip images; strip images mosaic method; targets dislocations; targets distortions; tessellation-line method; towing operation mode; wavelet transformation-based coverage area; whole-area SSS image;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9659
  • Type

    jour

  • DOI
    10.1049/iet-ipr.2012.0468
  • Filename
    6616270