The decision tree seabed type classifier operating on acoustic data

• Autorzy: Dung T. V. , Moszyński M. , Stepnowski A.
• Języki publikacji: EN

Abstrakty

EN

A decision tree classifier was developed for sea bottom recognition from acoustic echoes. The acoustic data was acquired by DT4000 echosounder at 200 kHz frequency. The performance of the classifying system was investigated involving various backscattered echo parameters, in particular wavelet coefficients. The results of the decision tree classification were compared with those obtained from the adaptive neuro-fuzzy system (IFNN) involving reduced number of input parameters by the use of Principal Component Analysis (PCA).

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2001
• Tom: Vol. 4
• Strony: 53--56
• Opis fizyczny: Bibliogr. 5 poz., rys.

Twórcy

autor

Dung T. V.

• Technical University of Gdańsk, Department of Remote Monitoring Systems, Gdańsk, Poland, ul. Narutowicza 11/12, 80-952 Gdańsk

autor

Moszyński M.

• Technical University of Gdańsk, Department of Remote Monitoring Systems, Gdańsk, Poland, ul. Narutowicza 11/12, 80-952 Gdańsk

autor

Stepnowski A.

• Technical University of Gdańsk, Department of Remote Monitoring Systems, Gdańsk, Poland, ul. Narutowicza 11/12, 80-952 Gdańsk

Bibliografia

• 1. X. Lurton, J. M. Augustin, S. Dugelay, L. Helleguin, M. Voisset, "Shallow-water seafloor c1assification for high-frequency multibeam echosounder: image segmentation using angular backscatter", SACLANTCEN Conference Proceedings Series CP-45, High Frequency Acoustics in Shallow Water, La Spezia, 1997, pp. 313-321.
• 2. J. Ross Quinlan, "Program for machine learning", M. Kaufmann Pub., London, 1988.
• 3. C. K. Chui, Wavelet: A Tutorial in Theory and Applications, Academic Press, 1992.
• 4. M. Moszyński, "Wavelet decomposition in target strength estimation", Proceeding of the 4th European Conference on Underwater Acoustics (ECUA), Rome, 1998, pp. 205-210.
• 5. M. Moszyński, T. V. Dung, A. Stepnowski, "Analysis of the influence of wavelet coefficients and other backscattered echo parameters on the performance of seabed neurofuzzy classifiers", Proceeding of the 5th ECUA, Lyon, 2000, pp. 301-306.