Research on Seabed Sediment Classification Based on the MSC-Transformer and Sub-Bottom Profiler
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 km<sup>2</sup> of seabed area on the northern slope of the South China Sea. Using the submarine backscattering intens...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/11/5/1074 |