Multi-frequency analysis of seabed echoes using wavelet transform

• Autorzy: Moszyński M. , Stepnowski A. , Łubniewski Z.
• Konferencja: Proceedings of the 2 nd EAA International Symposium on Hydroacoustics 24-27 May 1999, Gdańsk-Jurata POLAND
• Języki publikacji: EN

Abstrakty

EN

The methods based on analysis of boftom backscatter data from a single-beam echosounder have achieved special attention in the seabed identification problem. due to their simplicity over ofher more sophisticated acoustic techniques like side scan sonar or multibeam surveys. The majority of these methods analyses the scattering phenomena mostly in time domain (echo envelope). However, the frequency echo components carry concurrent information, which can be also used in boftom characterisation. The paper proposes the time-frequency approach to the boftom characterisation and presents the application of Wigner- Ville Distribution and wavelet transform of boftom backscatter data. The examples of continuous and discrete wavelet transforms of actual echo envelopes received at three boftom types for three different operating frequencies (38, 120 and 420 kHz) are shown. Their characteristic features are compared and parameters for classification schemes are proposed. The results of classification procedure are good with comparison with those of ofher simple acoustic methods.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 1999
• Tom: Vol. 2
• Strony: 85--90
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Moszyński M.

• Technical University of Gdańsk, Acoustics Department, 80-952 Gdańsk, POLAND

autor

Stepnowski A.

• Technical University of Gdańsk, Acoustics Department, 80-952 Gdańsk, POLAND

autor

Łubniewski Z.

• Technical University of Gdańsk, Acoustics Department, 80-952 Gdańsk, POLAND

Bibliografia

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• [3] C. K. Chui ed., Wavelets: A Tutorial in Theory and Applications, Academic Press, 1992.
• [4] Z. Łubniewski, M. Moszyński, A. Stepnowski, The inverse problem approach to the sea boftom identification, FORUM ACUSTlCUM, Berlin, ( 1999).
• [5] Z. Łubniewski, A. Stepnowski, Application of the fractal analysis in the sea bottom recognition, Archives of Acoustics 23, 4, pp. 499-511, (1998).
• [6] J. Maciołowska, A. Stepnowski, T. V. Dung, Fish schools and seabed identification using neural networks and fuzzy logic classifiers, Proceedings of the 4 th European Conference on Underwater Acoustics, Rome, pp. 275-280, (1998).
• [7] M. Moszyński, Wavelet decomposition in target strength estimation, Proceedings of the 4 th European Conference on Underwater Acoustics, Rome, pp. 205-210, (J 998).
• [8] E. Pouliquen, X. Lurton, Identification de la nature des fonds marins a l'aide de signaux d'echo-sondeurs - I. Modelisation des echos reverberes par le fond, Acta Acustica 2(1), pp. 113-126, (1994).
• [9] A. Stepnowski, M. Moszyński, R. Komendarczyk, J. Burczyński, Visual real-time Bottom Typing System (VBTS) and neural networks experiment for sea bed classification, Proceedings of the 3rd European Conference on Underwater Acoustics, Heraklion, pp. 685-690, (1996).