計量魚群探知機による海底地質判別に関する研究

概要

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Despite the significance of the geologic map of seabed classification, geological survey using high resolution side-scan sonar is not widely utilized in fisheries due to its high cost. Therefore a new algorithm for the analysis of echo sounder data measured by quantitative echo-sounders is presented in this paper so that it can be applicable to the seabed classification to make geologic maps in fisheries. The present algorithm is based on the Discrete Wavelet Transform in the analysis of reflections to draw out significant differences among different textures or materials on the seabed from their waveforms. In this paper, the development of the present algorithm is described using data obtained by two experiments carried out on the coasts of Hokkaido and Okinawa using quantitative echo-sounders. The results show that the present method can classify sand and silt seabed from others by the maximum values of wavelet power on a low frequency level in the discrete wavelet analysis and show that the present algorithm is applicable to the seabed classification for the creation of geologic maps in fisheries.
2008-09-25