Internet of underwater things and big marine data analytics—a comprehensive survey
The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …
developed for connecting underwater objects in maritime and underwater environments …
[HTML][HTML] Autonomous marine environmental monitoring: Application in decommissioned oil fields
Abstract Hundreds of Oil & Gas Industry structures in the marine environment are
approaching decommissioning. In most areas decommissioning operations will need to be …
approaching decommissioning. In most areas decommissioning operations will need to be …
A standardised vocabulary for identifying benthic biota and substrata from underwater imagery: the CATAMI classification scheme
Imagery collected by still and video cameras is an increasingly important tool for minimal
impact, repeatable observations in the marine environment. Data generated from imagery …
impact, repeatable observations in the marine environment. Data generated from imagery …
BIIGLE 2.0-browsing and annotating large marine image collections
Combining state-of-the art digital imaging technology with different kinds of marine
exploration techniques such as modern autonomous underwater vehicle (AUV), remote …
exploration techniques such as modern autonomous underwater vehicle (AUV), remote …
Increase of litter at the Arctic deep-sea observatory HAUSGARTEN
M Bergmann, M Klages - Marine pollution bulletin, 2012 - Elsevier
Although recent research has shown that marine litter has made it even to the remotest parts
of our planet, little information is available about temporal trends on the deep ocean floor. To …
of our planet, little information is available about temporal trends on the deep ocean floor. To …
New high-tech flexible networks for the monitoring of deep-sea ecosystems
Increasing interest in the acquisition of biotic and abiotic resources from within the deep sea
(eg, fisheries, oil–gas extraction, and mining) urgently imposes the development of novel …
(eg, fisheries, oil–gas extraction, and mining) urgently imposes the development of novel …
Perspectives in visual imaging for marine biology and ecology: from acquisition to understanding
JENS GREINERT3, NANCY JACOBSEN STOUT8, DANIEL OB JONES1, ANNE JORDT3,
JEFFREY W. KAELI9, KEVIN KÖSER3, LINDA A. KUHNZ8, DHUGAL LINDSAY10, KIRSTY …
JEFFREY W. KAELI9, KEVIN KÖSER3, LINDA A. KUHNZ8, DHUGAL LINDSAY10, KIRSTY …
Video image enhancement and machine learning pipeline for underwater animal detection and classification at cabled observatories
V Lopez-Vazquez, JM Lopez-Guede, S Marini… - Sensors, 2020 - mdpi.com
An understanding of marine ecosystems and their biodiversity is relevant to sustainable use
of the goods and services they offer. Since marine areas host complex ecosystems, it is …
of the goods and services they offer. Since marine areas host complex ecosystems, it is …
[HTML][HTML] Automated classification of fauna in seabed photographs: The impact of training and validation dataset size, with considerations for the class imbalance
Abstract Machine learning is rapidly developing as a tool for gathering data from imagery
and may be useful in identifying (classifying) visible specimens in large numbers of seabed …
and may be useful in identifying (classifying) visible specimens in large numbers of seabed …
[HTML][HTML] Fast and accurate mapping of fine scale abundance of a VME in the deep sea with computer vision
N Piechaud, KL Howell - Ecological Informatics, 2022 - Elsevier
With growing anthropogenic pressure on deep-sea ecosystems, large quantities of data are
needed to understand their ecology, monitor changes over time and inform conservation …
needed to understand their ecology, monitor changes over time and inform conservation …