Results 71 to 80 of about 2,279,354 (175)
Research on seamount substrate classification method based on machine learning
Frontiers in Marine ScienceThe western Pacific seamount area is abundant in both biological and mineral resources, making it a crucial location for international investigation of regional seabed resources.
DeXiang Huang +9 more
doaj +1 more source
Deep blueprint: A literature review and guide to automated image classification for ecologists
Journal of Animal Ecology, Volume 95, Issue 9, Page 1558-1585, September 2026.A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game +2 more
wiley +1 more source
Rapid Communication / Communication Rapide
, 2007 Huge amounts of money will be spent by industrialized nations during the next decades to obtain detailed maps of continental shelf seabeds. These maps, which will allow a more rational exploitation of the sea floor, are needed to assess the impact of ...
Acoustic Seabed Classification +1 more
core
Ocean sediments and shifting baselines—A call to revise European habitat classifications
Journal of Applied Ecology, Volume 63, Issue 9, September 2026.Shifting baselines affect the appropriateness of existing habitat classification frameworks, potentially reducing MPA integrity and efficacy. To enable representative mapping, accurate sensitivity assessments and appropriate management of marine habitats, EUNIS classifications require more flexibility.
Rebecca S. Turley +7 more
wiley +1 more source
A Novel Visual Classification Method of Seabed Sediments
, 2014 This study aims at the autonomous seafloor surveillance by underwater vehicles based on computer vision techniques. A novel scheme of seabed image classification is proposed to identify three types of seabed sediments.
Zhu PQ(祝普强) +4 more
core
Acoustic Event Classification Using Convolutional Neural Networks
, 2017 The classification of human-made acoustic events is important for the monitoring and recognition of human activities or critical behavior. In our experiments on acoustic event classification for the utilization in the sector of health care, we defined ...
Fabian, Etienne +6 more
core +1 more source
A Survey of Seafloor Characterization and Mapping Techniques
Remote SensingThe deep seabed is composed of heterogeneous ecosystems, containing diverse habitats for marine life. Consequently, understanding the geological and ecological characteristics of the seabed’s features is a key step for many applications.
Gabriel Loureiro +5 more
doaj +1 more source
, 2007 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
Recent Sediment Analysis, Study Case: Sub Bottom Profiler Data Line 8 Geomarine Research Vessels
Journal of Wetlands Environmental Management, 2019 North Aru Island’s offshore had a long exploration history since 1973 until present. The characteristics of seabed can be studied through the shapes, acoustic reflection pattern, type of substrate or sediment, or by living organisms at the seafloor.
Ulil Amri
doaj +1 more source
A Robust Seabed Sediment Classification Method Based on Multifeature Fusion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSeabed sediment classification using multibeam echosounder (MBES) data, such as bathymetry, backscatter angular response (AR), and backscatter mosaic, has the advantages of being faster and less costly than the traditional seafloor grab sampling. However,
Quanyin Zhang, Jianhu Zhao, Shaobo Li
doaj +1 more source