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The application of automated recognition techniques to side-scan sonar imagery

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2 Author(s)
Johnson, S.G. ; Submarine Signal Div., Raytheon Co., Portsmouth, RI, USA ; Deaett, M.

The rapid identification of ocean-bottom toxic-waste deposits has grown in importance due to worldwide industrialization and the expense of proper disposal. Acoustic surveys with a side-scan sonar provide a cost effective means of locating such damaging deposits. Here we describe an automatic image recognizer that can serve to prescreen volumes of data and alert a human operator. This recognizer operates using features and rules drawn from operator experience to establish candidate detections in amplitude-segmented imagery. The algorithm is described, performance examples are given, and applications are discussed

Published in:

Oceanic Engineering, IEEE Journal of  (Volume:19 ,  Issue: 1 )