• DocumentCode
    961698
  • Title

    Multiresolution 3-D Reconstruction From Side-Scan Sonar Images

  • Author

    Coiras, Enrique ; Petillot, Yvan ; Lane, David M.

  • Author_Institution
    Ocean Syst. Lab., Heriot-Watt Univ., Edinburgh
  • Volume
    16
  • Issue
    2
  • fYear
    2007
  • Firstpage
    382
  • Lastpage
    390
  • Abstract
    In this paper, a new method for the estimation of seabed elevation maps from side-scan sonar images is presented. The side-scan image formation process is represented by a Lambertian diffuse model, which is then inverted by a multiresolution optimization procedure inspired by expectation-maximization to account for the characteristics of the imaged seafloor region. On convergence of the model, approximations for seabed reflectivity, side-scan beam pattern, and seabed altitude are obtained. The performance of the system is evaluated against a real structure of known dimensions. Reconstruction results for images acquired by different sonar sensors are presented. Applications to augmented reality for the simulation of targets in sonar imagery are also discussed
  • Keywords
    expectation-maximisation algorithm; image reconstruction; image resolution; sonar imaging; underwater sound; Lambertian diffuse model; expectation-maximization; imaged seafloor region; multiresolution 3D reconstruction; multiresolution optimization; seabed elevation maps; seabed reflectivity; side-scan beam pattern; side-scan sonar images; sonar sensors; Augmented reality; Convergence; Image reconstruction; Image resolution; Image sensors; Reflectivity; Sea floor; Sensor phenomena and characterization; Sonar; Three dimensional displays; 3-D reconstruction; Augmented reality; expectation–maximization; multiresolution; shape from shading; side-scan sonar; Acoustics; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2006.888337
  • Filename
    4060928