Results 1 to 10 of about 1,824,604 (219)

Multifeature Extraction and Seafloor Classification Combining LiDAR and MBES Data around Yuanzhi Island in the South China Sea [PDF]

Sensors, 2018
Airborne light detection and ranging (LiDAR) full waveforms and multibeam echo sounding (MBES) backscatter data contain rich information about seafloor features and are important data sources representing seafloor topography and geomorphology. Currently,
Mingwei Wang, Ziyin Wu, Fanlin Yang, Yue Ma, Xiao Hua Wang, Dineng Zhao   +5 more
doaj   +4 more sources

Acoustic Seafloor Classification Using the Weyl Transform of Multibeam Echosounder Backscatter Mosaic [PDF]

Remote Sensing, 2021
The use of multibeam echosounder systems (MBES) for detailed seafloor mapping is increasing at a fast pace. Due to their design, enabling continuous high-density measurements and the coregistration of seafloor’s depth and reflectivity, MBES has become a ...
Ting Zhao, Giacomo Montereale Gavazzi, Srđan Lazendić, Yuxin Zhao, Aleksandra Pižurica   +4 more
doaj   +4 more sources

Seafloor Sediment Classification Using Small-Sample Multi-Beam Data Based on Convolutional Neural Networks

Journal of Marine Science and Engineering
Accurate, rapid, and automatic seafloor sediment classification represents a crucial challenge in marine sediment research. To address this, our study proposes a seafloor sediment classification method integrating convolutional neural networks (CNNs ...
Haibo Ma, Xianghua Lai, Taojun Hu, Xiaoming Fu, Xingwei Zhang, Sheng Song   +5 more
doaj   +4 more sources

Implementation of an automated workflow for image-based seafloor classification with examples from manganese-nodule covered seabed areas in the Central Pacific Ocean [PDF]

Scientific Reports, 2022
Mapping and monitoring of seafloor habitats are key tasks for fully understanding ocean ecosystems and resilience, which contributes towards sustainable use of ocean resources. Habitat mapping relies on seafloor classification typically based on acoustic
Benson Mbani, Timm Schoening, Iason-Zois Gazis, Reinhard Koch, Jens Greinert   +4 more
doaj   +2 more sources

The Antarctic Seafloor Annotated Imagery Database [PDF]

Scientific Data
Marine imagery can be a comparatively cost-effective way to collect data on seafloor organisms, biodiversity and habitat morphology. However, annotating these images to extract detailed biological information is time-consuming and expensive, and ...
Jan Jansen, Victor Shelamoff, Charley Gros, Thomas Windsor, Nicole A. Hill, David K. Barnes, David A. Bowden, Julian Gutt, Narissa Bax, Rachel V. Downey, Marc P. Eléaume, Alexandra L. Post, Huw J. Griffiths, Katrin Linse, Dieter Piepenburg, Autun Purser, Craig R. Smith, Amanda Ziegler, Craig R. Johnson   +18 more
doaj   +2 more sources

Assessing the Repeatability of Automated Seafloor Classification Algorithms, with Application in Marine Protected Area Monitoring

Remote Sensing, 2020
The number and areal extent of marine protected areas worldwide is rapidly increasing as a result of numerous national targets that aim to see up to 30% of their waters protected by 2030.
America Zelada Leon, Veerle A.I. Huvenne, Noëlie M.A. Benoist, Matthew Ferguson, Brian J. Bett, Russell B. Wynn   +5 more
doaj   +3 more sources

High-Silica Lava Morphology at Ocean Spreading Ridges: Machine-Learning Seafloor Classification at Alarcon Rise

Geosciences, 2019
The oceanic crust consists mostly of basalt, but more evolved compositions may be far more common than previously thought. To aid in distinguishing rhyolite from basaltic lava and help guide sampling and understand spatial distribution, we constructed a ...
Christina H. Maschmeyer, Scott M. White, Brian M. Dreyer, David A. Clague   +3 more
doaj   +3 more sources

A global scale submarine landform dataset driven by terrain knowledge [PDF]

Scientific Data
Submarine landforms are a critical component of Earth’s geomorphology, essential for understanding marine geological evolution, ocean dynamics, and marine ecosystems. However, global-scale classification of submarine landforms has been constrained by the
Fengyize Yu, Liyang Xiong, Hongen Wang, Guoan Tang, Josef Strobl   +4 more
doaj   +2 more sources

Marine lebensspuren: improving the classification of seafloor traces from underwater imagery and observations

Frontiers in Marine Science
Taxonomy is a dynamic and evolving scientific field in biological and paleontological research, which describes and systematises species and other taxa and thus lays the foundation to solve and structure biological questions.
Olmo Miguez-Salas, Olmo Miguez-Salas, Rachel Przeslawski, Francisco J. Rodríguez-Tovar, Alfred Uchman, Brian J. Bett, Jennifer M. Durden, Torben Riehl, Torben Riehl   +8 more
doaj   +3 more sources

AUTO-ADAPTIVE MULTI-LEVEL SEAFLOOR RECOGNITION AND LAND SEA CLASSIFICATION (AMSRLC) IN REEF-ISLAND ZONES USING ICESAT-2 LASER ALTIMETRY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
The world’s first photon-counting laser altimetry satellite, the Ice, Cloud and land Elevation Satellite-2 (ICESat-2), which was launched in 2018, has proven to have a certain bathymetric capability, which provides a new means for the surveying of island
Q. Xu, H. Xie, H. Xie, Y. Sun, X. Liu, Y. Guo, P. Huang, B. Li, X. Tong   +8 more
doaj   +1 more source