Results 41 to 50 of about 2,218,138 (170)
Classification method of seabed sonar image substrate based on ELM-AdaBoost
The results of sediment classification are affected by the measurement environment. The water depth has a significant impact on the sound propagation, and the acoustic characteristics will be different under different water depths.
Chenli Tan, Fei Yin, Tingchen Jiang
doaj +1 more source
Accurate Mapping of an Extended Shell Bed Area in the North Sea with Multi-spectral Multibeam Backscatter Data [PDF]
The multibeam echosounder (MBES) has been widely used in seabed mapping, considering its ability to collect continuous and broad-scale seabed measurements efficiently.
Q. Bai +4 more
doaj +1 more source
Seabed landers, when equipped with a range of biotic and abiotic sensors, offer a non‐invasive and cost‐effective solution for ecosystem‐scale monitoring of Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs) in dynamic shallow seas.
Arienne Calonge +7 more
wiley +1 more source
Visual features extraction and types classification of seabed sediments
The purpose of this research is to define and extract the visual features of the seabed sediments to improve the autonomous ability of a underwater vehicle while implementing exploring missions.
Yan Huang +9 more
core +1 more source
Damaged submarine fibre optic telecommunication cables have, in the past, beenlocated by the use of remotely operated underwater vehicles. These are fitted withsensors which have the capability to detect the metal shielding in the metallic coresused in ...
Leighton, T.G., Evans, R.C.P.
core +1 more source
Picking Up the Pieces—Harmonising and Collating Seabed Substrate Data for European Maritime Areas
The poor access to data on the marine environment is a handicap to government decision-making, a barrier to scientific understanding and an obstacle to economic growth.
Anu Marii Kaskela +10 more
doaj +1 more source
Discovery and fine‐scale mapping of a hadal xenophyophore field: submersible video transects and photogrammetry enable semi‐automated delineation of xenophyophores, revealing their abundance, spatial organisation, structural complexity and contribution to habitat heterogeneity at ~8000 m depth.
Denise J. B. Swanborn +5 more
wiley +1 more source
Consolidated FMEA–HAZOP safety management framework for WEC construction projects. ABSTRACT This study presents an advanced safety management framework for “Wave Energy Converter” (WEC) projects, addressing the inherent uncertainty, technological complexity, and environmental exposure of offshore renewable energy systems.
Panagiotis K. Marhavilas +4 more
wiley +1 more source
Seafloor classification is essential for understanding sediment distribution, marine habitat characteristics, and resource management. Therefore, this study aimed to classify seafloor sediment in the Pari water, Indonesia using high-frequency (400 kHz ...
Dadang Handoko +4 more
doaj +1 more source
A Precise Semantic Segmentation Model for Seabed Sediment Detection Using YOLO-C
Semantic segmentation methods have been successfully applied in seabed sediment detection. However, fast models like YOLO only produce rough segmentation boundaries (rectangles), while precise models like U-Net require too much time.
Xin Chen, Peng Shi, Yi Hu
doaj +1 more source

