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Use of seismic attributes for sediment classification
The Journal of Engineering, 2015 A study to understand the relationships between seismic attributes extracted from 2D high-resolution seismic data and the seafloor's sediments of the surveyed area.
Fabio Radomille Santana +1 more
doaj +2 more sources
Remote Sensing, 2021 The shift in IF (instantaneous frequency) series and the corresponding relaxation time have the potential to characterize sediment properties. However, these attributes derived from SBP (sub-bottom profiler) data are seldom used for offshore site ...
Shaobo Li +3 more
doaj +1 more source
Automatic Marine Sub-Bottom Sediment Classification Using Feature Clustering and Quality Factor
Journal of Marine Science and Engineering, 2023 It has been proven that the quality factor (Q) is important for marine sediment attenuation attribute representation and is helpful for sediment classification.
Zaixiang Zong +3 more
doaj +1 more source
Water motion characteristics and water damping correction in gap between ship-to-ship system
Zhongguo Jianchuan Yanjiu, 2023 ObjectivesThis study seeks to correct the distortion of results caused by the inviscid-flow assumption when potential flow theory is used to calculate a two-ship floating system with a small gap, and analyze the motion response characteristics of the gap
Liqin LIU +4 more
doaj +1 more source
Optimizing the Sediment Classification of Small Side-Scan Sonar Images Based on Deep Learning
IEEE Access, 2021 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 automatic seabed sediment classification.
Xiaoming Qin +3 more
doaj +1 more source
Remote Sensing, 2020 Acoustic backscatter data are widely applied to study the distribution characteristics of seabed sediments. However, the ghosting and mosaic errors in backscatter images lead to interference information being introduced into the feature extraction ...
Ping Zhou +4 more
doaj +1 more source
Journal of Marine Science and Engineering, 2021 The modern discrimination of sediment is based on acoustic intensity (backscatter) information from high-resolution multibeam echo-sounder systems (MBES).
Xiaochen Yu +4 more
doaj +1 more source
Analysis on Effective UAS Survey Conditions for Classification of Coastal Sediments
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 This study aims to introduce effective unmanned aerial system (UAS) survey conditions for coastal sediment classification, including muddy sand, sand, gravel, and shells in a tidal flat area.
Hyesu Kim +5 more
doaj +1 more source
ASSESSMENT OF MULTIBEAM BACKSCATTER TEXTURE ANALYSIS FOR SEAFLOOR SEDIMENT CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Recently, there have been many debates to analyse backscatter data from multibeam echosounder system (MBES) for seafloor classifications. Among them, two common methods have been used lately for seafloor classification; (1) signal-based classification ...
S. A. Samsudin, R. C. Hasan
doaj +1 more source
Small-Sample Seabed Sediment Classification Based on Deep Learning
Remote Sensing, 2023 Seabed sediment classification is of great significance in acoustic remote sensing. To accurately classify seabed sediments, big data are needed to train the classifier.
Yuxin Zhao +4 more
doaj +1 more source