• DocumentCode
    3528012
  • Title

    Signal processing for quantifying and classifying sonar target

  • Author

    Manik, Henry M.

  • Author_Institution
    Dept. of Marine Sci. & Technol., Bogor Agric. Univ., Bogor, Indonesia
  • fYear
    2009
  • fDate
    23-25 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Underwater acoustic instrument was used to quantify the fish backscattering strength (SV) and bottom scattering (SS). The measured SS by the bottom echo integration method are compared with the result from the ring surface scattering (RSS) model to confirm the reliability of the measurements and theory. The bottom material estimated by the quantified SS show that the fish schools are abundant in the sand bottom. It is found the acoustic instrument can identify fish, plankton and bottom fish habitats remotely.
  • Keywords
    signal processing; sonar target recognition; underwater acoustic propagation; bottom echo integration method; bottom fish habitats; bottom scattering; fish backscattering strength; fish schools; plankton; ring surface scattering model; signal processing; sonar target; underwater acoustic instrument; Acoustic measurements; Acoustic scattering; Acoustic signal processing; Backscatter; Instruments; Marine animals; Reliability theory; Signal processing; Sonar measurements; Underwater acoustics; fish and bottom backscattering; fish habitat; signal processing; target classifying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 International Conference on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4244-4999-6
  • Electronic_ISBN
    978-1-4244-5000-8
  • Type

    conf

  • DOI
    10.1109/ICICI-BME.2009.5417243
  • Filename
    5417243