• DocumentCode
    3157227
  • Title

    Data fusion of multi-beam sonar and side-scan sonar base on feature contour registration

  • Author

    Hao, Yanling ; Han, Qingnan

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    174
  • Lastpage
    177
  • Abstract
    This paper proposed a same-name feature point registration method based on feature contour. By analyzing the map of multi-beam water depth false-gray image and side-scan sonar image, and adopting CANNY operator to extract contour line. Then select the turning points which cater the constraints as the feature points, and deal the feature points with quadratic polynomial algorithm to obtain the deformation model to realize image registration between the two. Finally, process the fusion result by wavelet decomposition and evaluate it by cross entropy algorithm. Data simulation shows that the result is reasonable and the method proposed in this paper is practicable.
  • Keywords
    entropy; feature extraction; image registration; sensor fusion; sonar; wavelet transforms; cross entropy algorithm; data fusion; feature contour registration; feature point registration method; image registration; multibeam sonar; multibeam water depth false-gray image; side-scan sonar image; wavelet decomposition; Deformable models; Feature extraction; Image resolution; Polynomials; Registers; Sonar measurements; Data Fusion; False-grey Image; Feature Contour; Multi-beam Sonar; Side-scan Sonar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5768685
  • Filename
    5768685