• DocumentCode
    1646373
  • Title

    Using multibeam echoes in seafloor classification

  • Author

    Lubniewski, Z. ; Chybicki, A.

  • Author_Institution
    Dept. of Geoinformatics, Gdansk Univ. of Technol., Gdansk, Poland
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The method of seabed identification and classification from multibeam sonar echoes is presented. The proposed approach is based on calculation of a set of parameters of an echo envelope, similarly as in seafloor classification using single beam echosounder. These parameters are extracted for each consecutive beam allowing the estimation of their dependence on the seafloor incident angle. The relation between seabed type and calculated echo parameters and its angular dependence, is investigated. The paper concerns the experiment which has been carried out in Gdansk Bay water region in autumn 2008 as a continuation of the experimental verification of the proposed method. The results obtained using multibeam sonar data records from several bottom types are presented and discussed. It was confirmed that the information extracted from multibeam seafloor sensing data, e.g. ldquowater columnrdquo may be useful in seafloor characterisation.
  • Keywords
    feature extraction; oceanographic techniques; seafloor phenomena; sonar; AD 2008; Baltic Sea; Gdansk Bay water region; information extraction; multibeam seafloor data; multibeam sonar data records; multibeam sonar echoes; seabed identification method; seabed type; seafloor characterisation; seafloor classification; seafloor incident angle; single beam echosounder; Acoustic beams; Acoustical engineering; Data mining; Geology; Gravity; Scattering; Sea floor; Shape measurement; Sonar; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2009 - EUROPE
  • Conference_Location
    Bremen
  • Print_ISBN
    978-1-4244-2522-8
  • Electronic_ISBN
    978-1-4244-2523-5
  • Type

    conf

  • DOI
    10.1109/OCEANSE.2009.5278152
  • Filename
    5278152