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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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MLA
Zhao, Ting, et al. “Classification of Multibeam Sonar Image Using the Weyl Transform.” Image Processing and Communications : Techniques, Algorithms and Applications, edited by Michał Choraś and Ryszard S. Choraś, vol. 1062, Springer, 2019, pp. 206–13, doi:10.1007/978-3-030-31254-1_25.
APA
Zhao, T., Lazendic, S., Zhao, Y., Montereale Gavazzi, G. O. A., & Pizurica, A. (2019). Classification of multibeam sonar image using the Weyl transform. In M. Choraś & R. S. Choraś (Eds.), Image Processing and Communications : Techniques, Algorithms and Applications (Vol. 1062, pp. 206–213). Cham: Springer. https://doi.org/10.1007/978-3-030-31254-1_25
Chicago author-date
Zhao, Ting, Srdan Lazendic, Yuxin Zhao, Giacomo Ottaviano Andrea Montereale Gavazzi, and Aleksandra Pizurica. 2019. “Classification of Multibeam Sonar Image Using the Weyl Transform.” In Image Processing and Communications : Techniques, Algorithms and Applications, edited by Michał Choraś and Ryszard S. Choraś, 1062:206–13. Cham: Springer. https://doi.org/10.1007/978-3-030-31254-1_25.
Chicago author-date (all authors)
Zhao, Ting, Srdan Lazendic, Yuxin Zhao, Giacomo Ottaviano Andrea Montereale Gavazzi, and Aleksandra Pizurica. 2019. “Classification of Multibeam Sonar Image Using the Weyl Transform.” In Image Processing and Communications : Techniques, Algorithms and Applications, ed by. Michał Choraś and Ryszard S. Choraś, 1062:206–213. Cham: Springer. doi:10.1007/978-3-030-31254-1_25.
Vancouver
1.
Zhao T, Lazendic S, Zhao Y, Montereale Gavazzi GOA, Pizurica A. Classification of multibeam sonar image using the Weyl transform. In: Choraś M, Choraś RS, editors. Image Processing and Communications : Techniques, Algorithms and Applications. Cham: Springer; 2019. p. 206–13.
IEEE
[1]
T. Zhao, S. Lazendic, Y. Zhao, G. O. A. Montereale Gavazzi, and A. Pizurica, “Classification of multibeam sonar image using the Weyl transform,” in Image Processing and Communications : Techniques, Algorithms and Applications, Bydgoszcz, Poland, 2019, vol. 1062, pp. 206–213.
@inproceedings{8628322,
  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.}},
  author       = {{Zhao, Ting and Lazendic, Srdan and Zhao, Yuxin and Montereale Gavazzi, Giacomo Ottaviano Andrea and Pizurica, Aleksandra}},
  booktitle    = {{Image Processing and Communications : Techniques, Algorithms and Applications}},
  editor       = {{Choraś, Michał and Choraś, Ryszard S.}},
  isbn         = {{9783030312534}},
  issn         = {{2194-5357}},
  keywords     = {{Multibeam data processing,Multibeam sonar image,Feature extraction,Weyl transform,Acoustic sediment classification}},
  language     = {{eng}},
  location     = {{Bydgoszcz, Poland}},
  pages        = {{206--213}},
  publisher    = {{Springer}},
  title        = {{Classification of multibeam sonar image using the Weyl transform}},
  url          = {{http://dx.doi.org/10.1007/978-3-030-31254-1_25}},
  volume       = {{1062}},
  year         = {{2019}},
}

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