Classification of Multibeam Sonar Image Using the Weyl Transform

  • Ting ZhaoEmail author
  • Srđan Lazendić
  • Yuxin Zhao
  • Giacomo Montereale-Gavazzi
  • Aleksandra Pižurica
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1062)


In this paper we develop a novel classification method for multibeam sonar images based on the Weyl transform. The texture descriptor based on Weyl coefficients describes effectively the multiscale correlation features appearing in the sonar images. Our classification approach combines the Weyl coefficients with statistical features that are commonly used in the analysis of seabed sonar images and captures the morphological variation and geoacoustic characteristics of the seafloor. We employ a neural network as a classifier. The proposed combined feature extraction method demonstrates better performance than the commonly used statistical methods in this application.


Multibeam data processing Multibeam sonar image Feature extraction Weyl transform Acoustic sediment classification 


  1. 1.
    Gaida, T., Tengku, A.T., Snellen, M., Amiri-Simkooei, A., Van Dijk, T., Simons, D.: Geosciences 8, 455 (2018)CrossRefGoogle Scholar
  2. 2.
    Montereale-Gavazzi, G., Roche, M., Lurton, X., Degrendele, K., Terseleer, N., Van Lancker, V.: Mar. Geophys. Res. 39, 229–247 (2018)CrossRefGoogle Scholar
  3. 3.
    Diesing, M., Mitchell, P., Stephens, D.: ICES J. Mar. Sci. 73, 2425–2441 (2016)CrossRefGoogle Scholar
  4. 4.
    Brown, C.J., Smith, S.J., Lawton, P., Anderson, J.T.: Estuarine, coastal and shelf. Science 92, 502–520 (2011)Google Scholar
  5. 5.
    Nguyen, T.K.: Seafloor classification with a multi-swath multi-beam echo sounder. Ph.D. thesis, Ecole nationale supérieure Mines-Télécom Atlantique, Nantes (2017)Google Scholar
  6. 6.
    Janowski, Ł., Tęgowski, J., Nowak, J.: Ocean. Hydrobiol. Stud. 47, 248–259 (2018)CrossRefGoogle Scholar
  7. 7.
    Haralick, R.M., Shanmugam, K., Dinstein, I.H.: IEEE Trans. Syst. Man Cybern. 6, 610–621 (1973)Google Scholar
  8. 8.
    Qiu, Q., Thompson, A., Calderbank, R., Sapiro, G.: IEEE Trans. Signal Process. 64, 1844–1853 (2016)MathSciNetCrossRefGoogle Scholar
  9. 9.
    Ahn, H.K., Qiu, Q., Bosch, E., Thompson, A., Robles, F.E., Sapiro, G., Warren, W.S., Calderbank, R.: Classifying pump-probe images of melanocytic lesions using the Weyl transform. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Alberta, Canada. IEEE (2018)Google Scholar
  10. 10.
    Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: International Conference on Computer Vision and Pattern Recognition (CVPR 2005). IEEE Computer Society, San Diego (2005)Google Scholar
  11. 11.
    Marko, H., Matti, P.: IEEE Trans. Pattern Anal. Mach. Intell. 28, 657–662 (2006)CrossRefGoogle Scholar
  12. 12.
    Howard, S.D., Calderbank, A.R., Moran, W.: J. Appl. Signal Process. 2006, 111 (2006)Google Scholar
  13. 13.
    Wilson, M.F., O’Connell, B., Brown, C., Guinan, J.C., Grehan, A.J.: Mar. Geodesy 30, 3–35 (2007)CrossRefGoogle Scholar
  14. 14.
    Walbridge, S., Slocum, N., Pobuda, M., Wright, D.: Geosciences 8, 94 (2018)CrossRefGoogle Scholar
  15. 15.
    Kursa, M.B., Rudnicki, W.R.: J. Stat. Softw. 36, 1–13 (2010)CrossRefGoogle Scholar
  16. 16.
    Kongsberg Maritime. EM 2040 data sheet (2012)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ting Zhao
    • 1
    • 2
    Email author
  • Srđan Lazendić
    • 2
    • 3
  • Yuxin Zhao
    • 1
  • Giacomo Montereale-Gavazzi
    • 4
    • 5
  • Aleksandra Pižurica
    • 2
  1. 1.College of AutomationHarbin Engineering UniversityHarbinChina
  2. 2.Department of Telecommunications and Information Processing, TELIN-GAIMGhent UniversityGhentBelgium
  3. 3.Department of Mathematical AnalysisGhent UniversityGhentBelgium
  4. 4.Operational Directorate Natural EnvironmentRoyal Belgian Institute of Natural SciencesBrusselsBelgium
  5. 5.Renard Centre of Marine Geology Department of GeologyGhent UniversityGhentBelgium

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