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.
The application of automated recognition techniques to side-scan sonar imagery
Anwendung automatischer Erkennungstechniken für die Abbildungtechnik mittels Seitensichtsonars
IEEE Journal of Oceanic Engineering ; 19 , 1 ; 138-144
1994
7 Seiten, 9 Quellen
Article (Journal)
English
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