Results 211 to 220 of about 27,061 (245)
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Automatic classification of seabed sediments based on HLAC
Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 2013Understanding the distribution of seafloor sediment using a side-scan sonar is very important to grasp the distribution of seabed resources. This task is traditionally carried out by a skilled human operator. However, with the appearance of Autonomous Underwater Vehicles, automated processing is now needed to tackle the large amount of data produced ...
Yasuhiro Tan +3 more
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Comment on "Acoustic seabed classification: improved statistical method"
Canadian Journal of Fisheries and Aquatic Sciences, 20031300 In a discussion of methods for acoustic seabed classification, Legendre et al. (2002) claim to offer improvements over existing techniques and assert that their method “produces statistically better results than the classification method implemented in the QTC [Quester Tangent Corporation] software”.
J M Preston, R L Kirlin
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Seabed classification using a steerable multibeam echo sounder
OCEANS 2016 MTS/IEEE Monterey, 2016The new steerable 3D multi-beam echo sounder system SEAPIX offers different operational modes to acquire supplementary information during the acquisition process. In this paper, we focused on 2 modes: the classical MBES mode and the longitudinal mode.
Trung-Kien Nguyen +4 more
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Seabed classification from acoustic profiling data using the similarity index
The Journal of the Acoustical Society of America, 2002We introduce the similarity index (SI) for the classification of the sea floor from acoustic profiling data. The essential part of our approach is the singular value decomposition of the data to extract a signal coherent trace-to-trace using the Karhunen–Loeve transform.
Han-Joon, Kim +5 more
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Seabed classification from multibeam echosounder data using statistical methods
Proceedings of OCEANS '93, 2002The development of reliable methods for automatic seabed classification enjoys widespread interest at the present time. In this article, statistical methods for seabed classification from backscatter sonar data are investigated. The classification rule is derived from the Bayes decision rule and involves a probability model of the features extracted ...
R.B. Huseby +3 more
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Seabed Soil Classification, Soil Behaviour, and Pipeline Design
Offshore Technology Conference, 2012Abstract Geotechnical survey and the resulting soil classification is one of thefundamental design inputs for any subsea structure or pipeline design. Yet, details of soil classification and its limitations for predicting soilbehaviour under various scenarios are not fully understood by pipeline designengineers.
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Compensating images for absorption variations before acoustic seabed classification
OCEANS'11 MTS/IEEE KONA, 2011Dividing sonar images into regions that have similar seabeds is often done by expert interpretation. Automated classification systems are becoming more widely used. This paper describes techniques, based on image amplitudes and texture, that lead to useful and practical automated segmentation of multibeam images.
Christian Maushake +2 more
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The impact of mobile demersal fishing on carbon storage in seabed sediments
Global Change Biology, 2022Graham Epstein +2 more
exaly
Acoustic seabed classification: identifying fish and macro-epifaunal habitats
No abstracts are to be cited without prior reference to the author.Increasing use of seabed resources and the effects of fishing on the seabed requires an urgent need to assess the extent and diversity of those habitats affected. Traditional techniques of site-specific sampling do not adequately map the extent of seabed habitats and prone to ...Freeman, Steven +4 more
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Bioinspired underwater legged robot for seabed exploration with low environmental disturbance
Science Robotics, 2020Giacomo Picardi +2 more
exaly