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    Seafloor classification using acoustic backscatter echo-waveform - Artificial neural network applications

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    Oceans_06_Chakra.pdf (609.4Kb)
    Date
    2006
    Author
    Chakraborty, B.
    Mahale, V.
    Navelkar, G.S.
    Desai, R.G.P.
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    Abstract
    In this paper seafloor classifications system based on artificial neural network (ANN) has been designed. The ANN architecture employed here is a combination of Self Organizing Feature Map (SOFM) and Linear Vector Quantization (LVQ1). Currently acquired echo-waveform data acquired using single beam echo-sounder from twelve seafloor sediment locations from central part of the western continental shelf of India is analyzed and performance of the classifier is presented in this paper.
    URI
    http://drs.nio.org/drs/handle/2264/843
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