Results 11 to 20 of about 27,061 (245)
Classification of seabed landforms on continental and island shelves
The increasing availability and quality of high-resolution bathymetry data has led to a growing need for automated classification approaches to extract seabed features and better understand our ever-changing and complex seascapes.
Michelle Linklater +2 more
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The upper part of the Krka River estuary and Prokljan Lake are a specific example of a well-stratified estuarine environment in a submerged river canyon.
Ozren Hasan +5 more
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Seabed Sediment Classification using Multifrequency Backscatter
Abstract Seabed sediment serves as an important metric for assessing marine ecosystems. Different sectors, including the development and utilization of marine resources, marine engineering, environmental research, marine fisheries, and maritime navigation safety, all depend on the classification and identification of different forms of ...
Muhammad Aldila Syariz, Miftakhul Fauzy
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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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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 ...
Jiaxin Wan +6 more
doaj +1 more source
Seabed Classification From Multispectral Multibeam Data
Given the recent increase in the availability of multispectral multibeam echosounder data, this work aims to identify suitable processing and classification methodologies for seabed classification based on such data. We propose a complete processing and classification pipeline and investigate the adequacy of state-of-the-art classification algorithms ...
Valsamis Ntouskos +3 more
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Seabed Classification Using Multibeam Echosounder Measurement Data
Abstract Multibeam Echosounder (MBES) utilizes acoustic waves emitted to the seafloor through a transmitter or transducer and records its reflective. The information obtained by MBES are depth data and the scattering value of the acoustic signal reflected by the object or the seabed, called backscatter.
R Nitriansyah, B K Cahyono
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Seabed classification using physics-based modeling and machine learning [PDF]
In this work, model-based methods are employed, along with machine learning techniques, to classify sediments in oceanic environments based on the geoacoustic properties of a two-layer seabed. Two different scenarios are investigated. First, a simple low-frequency case is set up, in which the acoustic field is modeled with normal modes.
Christina Frederick +2 more
openaire +3 more sources
Blending single beam RoxAnn and multi-beam swathe QTC hydro-acoustic discrimination techniques for the Stonehaven area, Scotland, UK [PDF]
Surface properties of the seabed in a 180 km2 area of coastal waters (14-57 m depth) off northeast Scotland were mapped by hydro-acoustic discrimination using single and multi-beam echosounders linked to signal processing systems (RoxAnn for the single ...
Armstrong, F. +3 more
core +1 more source
Research on Seabed Sediment Classification Based on the MSC-Transformer and Sub-Bottom Profiler
This paper proposed an MSC-Transformer model based on the Transformer’s neural network, which was applied to seabed sediment classification. The data came from about 2900 km2 of seabed area on the northern slope of the South China Sea.
Han Wang +5 more
doaj +1 more source

