2002
DOI: 10.1016/s0165-7836(00)00309-x
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The effect of slope and vessel speed on the performance of a single beam acoustic seabed classification system

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Cited by 22 publications
(10 citation statements)
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“…At the end of the procedure, echoes with similar characters formed clusters that defined acoustic classes, which were mapped throughout the surveyed seabed. In addition, as the QTC classification accuracy can be affected by slopes (von Szalay and McConnaughey, 2002), data records corresponding to steep and moderate slopes at the margin of the study area were trimmed off before the analysis. The analysis was also done with all data and the resulting patterns (not shown here) pointed to similar conclusions.…”
Section: Discussionmentioning
confidence: 99%
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“…At the end of the procedure, echoes with similar characters formed clusters that defined acoustic classes, which were mapped throughout the surveyed seabed. In addition, as the QTC classification accuracy can be affected by slopes (von Szalay and McConnaughey, 2002), data records corresponding to steep and moderate slopes at the margin of the study area were trimmed off before the analysis. The analysis was also done with all data and the resulting patterns (not shown here) pointed to similar conclusions.…”
Section: Discussionmentioning
confidence: 99%
“…In our case, however, no correlations between sediments or spatial patterns of communities and depth were found in the ground-truth data. Von Szalay and McConnaughey (2002) have shown that even modest bottom slopes could greatly affect the QTC performance. We removed all the data located on steep and moderate slopes from our initial QTC VIEW IV and QTC VIEW V data sets, but the resulting new QTC classifications were still dependent on depth.…”
Section: Discussionmentioning
confidence: 99%
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“…Acoustic seabed classification is typically very successful for smooth horizontal seabeds. Problems are encountered over areas of variable bathymetry (or variable slope) (Hamilton et al, 1999;von Szalay and McConnaughey, 2002;Biffard et al, 2005), potentially leading to ambiguities or errors in seabed segmentation.…”
Section: Acoustic Seabed Classification With Echosoundersmentioning
confidence: 99%