Results 11 to 20 of about 14,342 (223)
Remote Sensing, 2022 In 2007, China discovered a hydrothermal anomaly in the Longqi hydrothermal area of the Southwest Indian Ridge. It was the first seabed hydrothermal area discovered in the ultraslow spreading ocean ridge in the world.
Qiuhua Tang +6 more
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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
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IEEE Access, 2021 The exploitation and utilization of seabed sediments provide vital significance in many fields. Recently, the classification of seabed sediments using sub-bottom profiler(SBP) data has become a research focus.
Mingke Li +3 more
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Analysis of some problems in classification of seabed bottom characteristics using acoustic backscattering intensity [PDF]
E3S Web of Conferences, 2020 The backscattering intensity collected by multi beam sonar system and scanning sonar system can be used to classify seabed bottom characteristics. However, there are many problems that have not been solved in the practical application.
Jintao FENG +4 more
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Geosciences, 2021 The growing interest in monitoring the marine environment has strongly encouraged governmental agencies and research institutes to undertake seabed mapping programs and stimulated scientific interest in innovative mapping methods and tools. In this study,
Francesco Mascioli +5 more
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Seabed Sediment Classification for Sonar Images Based on Deep Learning
Computing and Informatics, 2022 Along with the development of sonar technology, the detection accuracy and stability of sonar have been improved. A large amount of seabed sediment information can be obtained through sonar detection. However, this information is often accompanied by noise interference, resulting in poor quality of the generated images.
Shi, Yuhong +4 more
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Seabed classification and source localization with Gaussian processes and machine learning [PDF]
JASA Express Letters, 2022 Workshop '97 data are employed for seabed classification and source range estimation. The data are acoustic fields computed at vertically separated receivers for various ranges and different environments.
Christina Frederick +1 more
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Seabed sub-bottom sediment classification using parametric sub-bottom profiler [PDF]
NRIAG Journal of Astronomy and Geophysics, 2016 AbstractMany studies have been published concerning classification techniques of seabed surfaces using single beam, multibeam, and side scan sonars, while few paid attentions to classify sub-bottom layers using a non-linear Sub-Bottom Profiler (SBP). Non-linear SBP is known for its high resolution images due to the very short pulse length and aperture ...
Saleh, Mohamed, Rabah, Mostafa
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Seabed Sediment Classification using Multi-Frequency MBES Bathymetric and Its Features
IOP Conference Series: Earth and Environmental Science, 2023 Abstract Principally, for a few decades, hydrographical surveys have been only to determine the depth of seawater. Sonar measurement tehcnology is the most widely used to conduct hydrographical surveys employing a singlebeam echosounder (SBES) and multibeam echosounder (MBES).
null Khomsin +4 more
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Classifying seabed sediment type using simulated tidal-induced bed shear stress [PDF]
, 2018 This is the author accepted manuscript. The final version is freely available from Elsevier via the DOI in this record.An ability to estimate the large-scale spatial variability of seabed sediment type in the absence of extensive observational data is ...
Neill, SP +3 more
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