Results 1 to 10 of about 1,817,988 (202)
Small-Sample Seabed Sediment Classification Based on Deep Learning
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
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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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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
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Reef Mapping Using Different Seabed Automatic Classification Tools
There is a great demand to develop new acoustic techniques to efficiently map the seabed and automate the interpretation of acoustic, sedimentological, and imaging data sets, eliminating subjectivity.
Pedro S. Menandro +7 more
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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
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A feasibility study of seabed cover classification standard in generating related geospatial data
This article assesses the feasibility of generating the geospatial data from a national classification standard. In this case, the National Standardization Agency (Badan Standardisasi Nasional) of Indonesia created and published a national seabed cover ...
Dewayany Sutrisno +3 more
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The multibeam echo sounders (MBES) can acquire accurate positional but low-resolution seabed terrain and images, whereas side scan sonars (SSS) can only acquire inaccurate positional but high-resolution seabed images.
Jianhu Zhao +3 more
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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 automatic seabed sediment classification.
Xiaoming Qin +3 more
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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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Classification of Airborne Laser Bathymetry Data Using Artificial Neural Networks
The current development of technology allows for extensive use of active remote sensing systems in water environment research. The data obtained using airborne bathymetric scanning are mainly used to build digital elevation models of the seabed.
Tomasz Kogut, Adam Slowik
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