Deep learning model for seabed sediment classification based on fuzzy ranking feature optimization
X Cui, F Yang, X Wang, B Ai, Y Luo, D Ma - Marine Geology, 2021 - Elsevier
Accurate acquisition of information on seabed sediment distributions plays an important role
in the construction of basic marine geographic databases. Although a multibeam echo …
in the construction of basic marine geographic databases. Although a multibeam echo …
[HTML][HTML] MBES seabed sediment classification based on a decision fusion method using deep learning model
J Wan, Z Qin, X Cui, F Yang, M Yasir, B Ma, X Liu - Remote Sensing, 2022 - mdpi.com
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 …
human footprint on the seafloor. As a representative of seafloor habitats, seabed sediment …
DNN-based seabed classification using differently weighted MBES multifeatures
Z Zhu, X Cui, K Zhang, B Ai, B Shi, F Yang - Marine Geology, 2021 - Elsevier
Seabed sediment classification has significance for the utilization of marine resources and
marine scientific research. Currently, the multibeam echo sounder (MBES) is increasingly …
marine scientific research. Currently, the multibeam echo sounder (MBES) is increasingly …
CNN multibeam seabed sediment classification combined with a novel feature optimization method
M Anokye, X Cui, F Yang, M Fan, Y Luo… - Mathematical Geosciences, 2024 - Springer
The classification of seabed sediments is an essential aspect of marine spatial planning and
management. Multibeam echo sounders (MBESs) have been widely used for efficient and …
management. Multibeam echo sounders (MBESs) have been widely used for efficient and …
Optimizing multi-classifier fusion for seabed sediment classification using machine learning
M Anokye, X Cui, F Yang, P Wang, Y Sun… - … Journal of Digital …, 2024 - Taylor & Francis
Seabed sediment mapping with acoustical data and ground-truth samples is a growing field
in marine science. In recent years, multi-classifier ensemble models have gained …
in marine science. In recent years, multi-classifier ensemble models have gained …
Seabed mixed sediment classification with multi-beam echo sounder backscatter data in Jiaozhou Bay
Q Tang, N Lei, J Li, Y Wu, X Zhou - Marine Georesources & …, 2015 - Taylor & Francis
The multi-beam echo sounder system can not only obtain high-precision seabed bathymetry
data, but also obtain high-resolution seabed backscatter strength data. A number of studies …
data, but also obtain high-resolution seabed backscatter strength data. A number of studies …
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 …
backscattering intensity data, which is related to the type of sediment covering the seabed …
[HTML][HTML] Classification of marine sediment in the northern slope of the South China Sea based on improved U-Net and K-means clustering analysis
Q Zhou, X Li, L Liu, J Wang, L Zhang, B Liu - Remote Sensing, 2023 - mdpi.com
The classification of marine sediment based on acoustic data is crucial for various
applications such as marine resource exploitation, marine engineering construction, and …
applications such as marine resource exploitation, marine engineering construction, and …
Seabed sediment classification using multibeam backscatter data based on the selecting optimal random forest model
X Ji, B Yang, Q Tang - Applied Acoustics, 2020 - Elsevier
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 …
approach due to its high coverage capabilities and limited costs compared to taking samples …
Optimizing the sediment classification of small side-scan sonar images based on deep learning
Acoustic seabed classification (ASC) is a fast and large-scale seabed sediment survey
method. In particular, combining it with an automated classifier can theoretically achieve fast …
method. In particular, combining it with an automated classifier can theoretically achieve fast …