Sediment Classification of Small-Size Seabed Acoustic Images Using Convolutional Neural Networks

Sediment Classification of Small-Size Seabed Acoustic Images Using Convolutional Neural Networks

Seabed acoustic images are image data mosaics derived from seafloor acoustic backscattering intensity data, which is related to the type of sediment covering the seabed. Therefore, submarine sediment classification can be realized using seabed acoustic images, and has been studied extensively. Recen...

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Bibliographic Details
Main Authors: Xiaowen Luo, Xiaoming Qin, Ziyin Wu, Fanlin Yang, Mingwei Wang, Jihong Shang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep convolutional neural network
seabed acoustic image
seabed sediment classification
Online Access:https://ieeexplore.ieee.org/document/8756236/

Internet

https://ieeexplore.ieee.org/document/8756236/

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