Underwater vegetation detection in high frequency sonar images: A preliminary approach

  • Roberto Bozzano
  • Antonio Siccardi
Poster Session D: Biomedical Applications, Detection, Control & Surveillance, Inspection, Optical Character Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)


This paper describes tests carried out on sector-scan sonar images acquired by a high frequency acoustic device. Trials were performed on low reflective targets such as marine vegetation living on the sea bottom in shallow sea waters. The imaging process is performed by placing side by side the scanlines, with the assumption of a sufficient correlation between two successive scanlines, even if the acoustic transducer rotates and the vehicle carrying the head moves forward along its path. The selected approach is mainly based on non-linear and morphological operators. Results are shown, demonstrating the effectiveness of the approach.


Autonomous Underwater Vehicle Target Strength Morphological Operator Sonar Image Sidescan Sonar 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. [1]
    M.J. Chantler, D.M. Lane, D. Dai, and N. Williams, “Detection and tracking of returns in sector-scan sonar image sequences,” IEE Proceedings Radar, Sonar and Navigation, Vol. 143 (3,) June 1996.Google Scholar
  2. [2]
    J.L. Sutton, “Underwater acoustic imaging,” IEEE Proceedings, Vol. 67 (4), April 1979.Google Scholar
  3. [3]
    N. Williams, D.M. Lane, M.J. Chantler, and D. Dai, “Classification of sectorscanning sonar image sequences,” Proc. of 5 th International Conference on Image Processing and its Applications IPA '95, pp. 261–265, 1995.Google Scholar
  4. [4]
    A. Carof, “MAUVE: Miniaturised and reconfigurable instrumentation for multipurpose survey with a mini autonomous underwater vehicle,” IEEE Proc. of OCEANS '96, pp. 955–960, September 1996.Google Scholar
  5. [5]
    P. Colantoni, and P. Zucchini, “Underwater mapping of the Posidonia Oceanica prairies around the Ischia island (Naples),” Rapp. Comm. Int Mer. Medit., Vol. 25/26 (6), pp. 89–90, 1979.Google Scholar
  6. [6]
    D.R. Carmichael, L.M. Linnet, S.J. Clarke, and B.R. Calder, “Seabed classification through multifractal analysis of sidescan sonar imagery,” IEE Proc. Radar, Sonar and Navigation, Vol. 143 (3), pp. 140–148, June 1996.Google Scholar
  7. [7]
    O. Milvang, R.B. Huseby, K. Weisteen, and A. Solberg, “Feature extraction from backscatter sonar data,” Proc. of the Institute of Acoustics, Vol. 15, Part 2, pp. 157–163, 1993.Google Scholar
  8. [8]
    J.C. Stevenson, “Comparative ecology of submersed grass beds in freshwater, estuarine, and marine environments,” Limn. Ocean., Vol. 33, pp. 867–893, 1988.Google Scholar
  9. [9]
    M.C. Buia, and L. Mazzella, “Reproductive phenology of the Mediterranean seagrasses Posidonia oceanica (1.), Cymodocea nodosa (Ucria) Aschers and Zostera noltii Hornem,” Acquat. Bot., Vol. 40, pp. 343–362, 1991.CrossRefGoogle Scholar
  10. [10]
    A. Meinesz, J. de Vaugelas, B. Hesse, and X. Mari, “Spreading of the introduced tropical green alga Caulerpa Taxifolia in northern Mediterranean waters,” Journal of Applied Phycology, Vol. 5, pp. 141–147,1993.Google Scholar
  11. [11]
    R.F.W. Coates, Underwater Acoustic Systems, MacMillan, 1990.Google Scholar
  12. [12]
    R. Haralik, L. Shapiro, Computer and Robot Vision, Addison-Wesley Pub., 1992.Google Scholar
  13. [13]
    J. Serra, Image analysis and mathematical morphology, Academic Press, 1982.Google Scholar
  14. [14]
    R. Bozzano, and A. Siccardi, “A high frequency approach for seabed vegetation characterisation,” Proc. of High Frequency Acoustics in Shallow Water conference, NATO SACLANTCEN, June 30-July 4, 1997, in press.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Roberto Bozzano
    • 1
  • Antonio Siccardi
    • 1
  1. 1.Consiglio Nazionale delle RicercheIstituto per l'Automazione Navale, CNR-IANGenovaItaly

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