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Acoustic seabed classification and correlation analysis of sediment properties by QTC VIEW
Oceans '97. MTS/IEEE Conference Proceedings, 2002A 50-kHz echo sounder and a digital waveform acquisition and seabed classification system were used to record and process echoes from embayments near southeast Vancouver Island, Canada. Each echo was preprocessed and several statistical and spectral algorithms were used to extract its characteristic patterns.
A.S. Tsemahman +2 more
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Seabed sediment classification in the northern South China Sea using inversion method
Applied Ocean Research, 2013Abstract Sub-bottom profile data can be used not only for the interpretation of the seabed strata structure and formation, but also for seabed sediments classification using inversion method. In the present paper, sub-bottom profile data from a survey line located on the continental slope of the northern South China Sea were processed.
Hong-bo Zheng +3 more
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Seabed sediment classification of side-scan sonar data using convolutional neural networks
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017Spatially high-resolution information on the seabed sediment is import for many applications in the fields of oceanic engineering, coastal engineering, habitat mapping, and others. The seabed sediment is typically described by information based on the grain-size distribution, which are derived from sediment samples collected from the seafloor.
Tim Berthold +4 more
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Bottom sediment classification method from seabed image for automatic counting system of scallop
2012 International Symposium on Optomechatronic Technologies (ISOT 2012), 2012Each related organization conducts various fishery investigations and collects data required for estimation of resource state. In the scallop culture industry in Tokoro, Japan, the fish resources are investigated by analyzing seabed images. The seabed images are now obtainable from catamaran technology.
Koichiro Enomoto +2 more
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Applied Acoustics, 2020
Abstract 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 of the seafloor. This paper focuses on backscatter intensity correction, sonar image quality improvement, and classifier construction, which aims to improve the ...
Xue Ji, Bisheng Yang, Qiuhua Tang
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Abstract 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 of the seafloor. This paper focuses on backscatter intensity correction, sonar image quality improvement, and classifier construction, which aims to improve the ...
Xue Ji, Bisheng Yang, Qiuhua Tang
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Seabed Mixed Sediment Classification with Multi-beam Echo Sounder Backscatter Data in Jiaozhou Bay
Marine Georesources & Geotechnology, 2014The 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 have applied acoustic remote sensing method to classify seabed sediment type with multi-beam backscatter strength data, and obtained better classification results than the ...
Qiuhua Tang +4 more
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A seabed sediment classification model based on PSO-AlexNet
2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022Shaohua Jin +3 more
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2001
Abstract : The long term research objective is to develop a cost effective technique for mapping the top 20 meters of sediment properties using acoustic remote sensing. In previous years, a chirp sonar was developed to provide quantitative, wideband reflection measurements of the seabed with a vertical resolution of 10 cm.
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Abstract : The long term research objective is to develop a cost effective technique for mapping the top 20 meters of sediment properties using acoustic remote sensing. In previous years, a chirp sonar was developed to provide quantitative, wideband reflection measurements of the seabed with a vertical resolution of 10 cm.
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High-accuracy seabed sediment classification using multi-beam acoustic backscatter data
OCEANS 2022 - Chennai, 2022Linbang He +3 more
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2018
The multibeam data provides backscatter and bathymetry accurate measurement of water depth information this valuable is related to the topography and composition of the seafloor. From multibeam dataset, the backscatter information and comprising bathymetry derivatives were interpreted using the ArcGIS software.
Razak Zakariya +3 more
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The multibeam data provides backscatter and bathymetry accurate measurement of water depth information this valuable is related to the topography and composition of the seafloor. From multibeam dataset, the backscatter information and comprising bathymetry derivatives were interpreted using the ArcGIS software.
Razak Zakariya +3 more
openaire +1 more source