MBES Seabed Sediment Classification Based on a Decision Fusion Method Using Deep Learning Model

MBES Seabed Sediment Classification Based on a Decision Fusion Method Using Deep Learning Model

High-precision habitat mapping can contribute to the identification and quantification of the human footprint on the seafloor. As a representative of seafloor habitats, seabed sediment classification is crucial for marine geological research, marine environment monitoring, marine engineering constru...

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Bibliographic Details
Main Authors: Jiaxin Wan, Zhiliang Qin, Xiaodong Cui, Fanlin Yang, Muhammad Yasir, Benjun Ma, Xueqin Liu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
seabed sediment classification
multibeam echo-sounding system
deep learning
random patches network
decision fusion
Online Access:https://www.mdpi.com/2072-4292/14/15/3708

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