This paper presents a seabed classification algorithm based on the Discrete Wavelet Transform (DWT) for quantitative echo-sounders. The authors confirmed in the previous works the powers of wavelet coefficients (wavelet power) calculated by the analysis of reflections in the echo-sounders observation yield significant differences among seabed textures at the low frequency levels in DWT. The authors concluded that the present method would have a possibility for the seabed classification. In order to verify this in the real seabed classifications, the experiment using the Ultrasonic Boundary Level Meter BL-550 made by Sonic Corporation, Japan was performed at Okinawa in December 2008. Consequently 94.2% of sand seabed can be classified from others and 82.0% of rock can be classified by the linear discrimination functions made of maximum values of wavelet power. The algorithm for the embedded software for the quantitative echo- sounders is also presented for the real-time seabed classification for the coastal fisheries.%近年、我が国の水産業の持続的発展のため、資源rn管理型漁業に向けた魚群探知機の高度利用や海洋rnGIS構築に関する研究が盛んである。海底地質情報rnは、沿岸漁業における漁場管理情報として漁業者がrn必要としている情報の一つであるが、広範囲の調査rnにはサイドスキャンソナーを用いた計測および解析rnが一般的であり、多大な費用を要するなどの理由かrnら、漁業において最新の海底地質情報を利用するこrnとは困難とされている。
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