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Classification of Multibeam Sonar Image Using the Weyl Transform

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

Abstract

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.

Keywords

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

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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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