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.


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    Title :

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


    Additional title:

    Anwendung automatischer Erkennungstechniken für die Abbildungtechnik mittels Seitensichtsonars


    Contributors:

    Published in:

    Publication date :

    1994


    Size :

    7 Seiten, 9 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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