21   Artículos

 
en línea
Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li    
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C... ver más
Revista: Water    Formato: Electrónico

 
en línea
Lorenza Apicella, Monica De Martino, Ilaria Ferrando, Alfonso Quarati and Bianca Federici    
Bathymetric surveys of shallow waters are increasingly necessary for navigational safety and environmental studies. In situ surveys with floating acoustic sensors allow the collection of high-accuracy bathymetric data. However, such surveys are often unf... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yewei Song, Jie Guo, Fengshan Ma, Jia Liu and Guang Li    
Water inrush caused by mining below the seafloor seriously affects the safety and production of mines. Identifying the end element of mine inrush and accurately calculating the mixing ratios of end elements are the basis for a reasonable evaluation of wa... ver más
Revista: Water    Formato: Electrónico

 
en línea
Isaac Keohane and Scott White    
Identifying the locations of hydrothermal chimneys across mapped areas of seafloor spreading ridges unlocks the ability to research questions about their correlations to geology, the cooling of the lithosphere, and deep-sea biogeography. We developed a C... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Quanyin Zhang, Jianhu Zhao, Shaobo Li and Hongmei Zhang    
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. Moreover, their poor resistance to the residual error of MBES bac... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Francesca Budillon, Marco Firetto Carlino, Sara Innangi, Salvatore Passaro, Renato Tonielli, Fabio Trincardi and Mario Sprovieri    
Augusta Bay is an embayment of the Hyblean sector in south-eastern Sicily (Southern Italy) that faces the Ionian Sea and includes the Rada di Augusta, a wide littoral sector sheltered by breakwaters, which hosts intense harbor activities. Rada di Augusta... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Leo Koop, Mirjam Snellen and Dick G. Simons    
In this paper, object-based image analysis classification methods are developed that do not rely on backscatter in order to classify the seafloor. Instead, these methods make use of bathymetry, bathymetric derivatives, and grab samples for classification... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Jiajia Wei, Tao Xie, Ming Shi, Qianqian He, Tianzhen Wang and Yassine Amirat    
Marine current energy as a kind of renewable energy has gradually attracted more and more attention from many countries. However, the blade imbalance fault of marine current turbines (MCTs) will have an effect on the power production efficiency and cause... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Francesco Mascioli, Valerio Piattelli, Francesco Cerrone, Davide Gasprino, Tina Kunde and Enrico Miccadei    
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... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Alireza R. Amiri-Simkooei, Leo Koop, Karin J. van der Reijden, Mirjam Snellen and Dick G. Simons    
Seafloor characterization using multibeam echosounder (MBES) backscatter data is an active field of research. The observed backscatter curve (OBC) is used in an inversion algorithm with available physics-based models to determine the seafloor geoacoustic... ver más
Revista: Geosciences    Formato: Electrónico

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