Results 1 to 10 of about 27,061 (245)
Seabed Sediment Classification Using Spatial Statistical Characteristics
Journal of Marine Science and Engineering, 2022 Conventional sediment classification methods based on Multibeam Echo System (MBES) data have low accuracy since the correlation between features and sediment has not been fully considered.
Quanyin Zhang +3 more
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Validating deep learning seabed classification via acoustic similarity [PDF]
JASA Express Letters, 2021 While seabed characterization methods have often focused on estimating individual sediment parameters, deep learning suggests a class-based approach focusing on the overall acoustic effect.
David J. Forman +3 more
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Reef Mapping Using Different Seabed Automatic Classification Tools [PDF]
Geosciences, 2020 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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A New Method for Acquisition of High-Resolution Seabed Topography by Matching Seabed Classification Images [PDF]
Remote Sensing, 2017 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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Seabed acoustic classification in the Pelotas basin, Brazil [PDF]
Brazilian Journal of Oceanography, 2013 The present study sought to develop a seabed map of the region of the Pelotas Basin using acoustic methods. A total number of 1,507,823 seabed reflectivity data, collected during six oceanographic surveys, were processed to generate a seabed map.
Paloma Lumi Costa +2 more
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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
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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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Classification of Airborne Laser Bathymetry Data Using Artificial Neural Networks
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 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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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
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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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