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Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107387
Abstract: Abstract Seabed sediment classification using acoustic remote sensing technique is an attractive approach due to its high coverage capabilities and limited costs compared to taking samples of the seafloor. This paper focuses on backscatter intensity…
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Keywords:
classification;
sediment classification;
seabed sediment;
intensity ... See more keywords
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Published in 2021 at "Marine Geology"
DOI: 10.1016/j.margeo.2021.106519
Abstract: Abstract Seabed sediment classification has significance for the utilization of marine resources and marine scientific research. Currently, the multibeam echo sounder (MBES) is increasingly becoming the tool of choice for large-scale seabed sediment classification. To…
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Keywords:
mbes multifeatures;
seabed sediment;
backscatter mosaic;
sediment classification ... See more keywords
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Published in 2020 at "Sedimentary Geology"
DOI: 10.1016/j.sedgeo.2020.105792
Abstract: Abstract Recognition of seabed sediment is one of the critical foundations of marine exploitation. This paper proposes a probabilistic neural network (PNN) based method to improve the identification accuracy of seabed sediment from side-scan sonar…
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Keywords:
side scan;
seabed sediment;
sonar imagery;
scan sonar ... See more keywords
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Published in 2023 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse11051074
Abstract: This paper proposed an MSC-Transformer model based on the Transformer’s neural network, which was applied to seabed sediment classification. The data came from about 2900 km2 of seabed area on the northern slope of the…
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Keywords:
sub bottom;
seabed sediment;
sediment classification;
msc transformer ... See more keywords