Abstract
A hypothesis to categorize bottom substrate type is that information about the bottom sediments is encoded in the echo signal. Bottom typing means that to decode this information, however, for data verification, the user of automated typing programs should establish libraries where data acquisition of acoustic data is accompanied by physical core samples of the bottom. Separate verification should be done for different types of bottoms (e.g., %rocks, %sand, %silt, and %clay). Data from 126 observations of sediments in the vicinity of Commencement Bay near Tacoma, WA was used to establish libraries and to test the capability of the Visual Bottom Typer software to categorize correctly. Four different algorithms were used: division of the first bottom echo, ratio of the first and second bottom echo, cumulative intensity of the first bottom echo, and fractal dimension of the first bottom echo. The echo signal parameters depended not only on the type of bottom sampled but also on the equipment parameters. Two different frequencies and two different beam widths were compared. Verification results were valid for particular combinations of equipment parameters.
Published Version
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