Title :
The application of automated recognition techniques to side-scan sonar imagery
Author :
Johnson, Stephen G. ; Deaett, Michael A.
Author_Institution :
Submarine Signal Div., Raytheon Co., Portsmouth, RI, USA
fDate :
1/1/1994 12:00:00 AM
Abstract :
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
Keywords :
acoustic imaging; feature extraction; image processing equipment; image recognition; image segmentation; oceanographic techniques; sonar; water pollution detection and control; acoustic surveys; amplitude-segmented imagery; automated recognition techniques; automatic image recognizer; candidate detections; features; identification; ocean-bottom toxic-waste deposits; rules; side-scan sonar; side-scan sonar imagery; Acoustic signal detection; Backscatter; Costs; Humans; Image analysis; Image recognition; Image segmentation; Object detection; Sonar applications; Sonar detection;
Journal_Title :
Oceanic Engineering, IEEE Journal of
