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Best practice in seabed image analysis for determining taxa, habitat, or substrata distributions / D.A. Bowden, A.A. Rowden, C.C. Chin, S. Hempel, B. Wood, A. Hart, M.R. Clark.

By: Bowden, David A.
Contributor(s): Rowden, A. A. (Ashley Alun) | Chin, C. C | Hempel, S | Wood, B | Hart, A. C | Clark, Malcolm R, 1956- | New Zealand. Ministry for Primary Industries | Fisheries New Zealand (Government agency).
Material type: materialTypeLabelBookSeries: New Zealand aquatic environment and biodiversity report: no. 239Publisher: Wellington : Fisheries New Zealand, Tini a Tangaroa, 2020 .Description: 1 online resource.ISBN: 9781990017742.Subject(s): OCEAN FLOOR | MARINE BENTHOS | SEAMOUNTS | TAXA | MARINE SPECIES DIVERSITY | MARINE HABITATS | SUBSTRATES | PHOTOGRAMMETRIC SURVEYS | IMAGE ANALYSIS | PHOTOGRAMMETRY | IMAGERY | VIDEOS | MACHINE LEARNING | ARTIFICIAL INTELLIGENCE | DATA MANAGEMENT | NEW ZEALANDHoldings: ELECTRONIC Online resources: AEBR 239 Fisheries Infosite | NIWA document server | National Digital Heritage Archive Open Access Summary: This is a review of seabed imaging survey methods and their application in New Zealand, focusing on the deep sea and covering the fields of image acquisition, data extraction from imagery, and data management. The potential of new technologies and analysis methods, including machine learning techniques, is explored, and several areas are identified in which changes to current practices would improve the quality, quantity, consistency, and accessibility of seabed image-derived data.
List(s) this item appears in: New Zealand Aquatic Environment and Biodiversity Report
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PDF PDF WELLINGTON
ONLINE
ELECTRONIC 1 Not for loan 396573

Archived by the National Library of New Zealand in PDF.

This is a review of seabed imaging survey methods and their application in New Zealand, focusing on the deep sea and covering the fields of image acquisition, data extraction from imagery, and data management. The potential of new technologies and analysis methods, including machine learning techniques, is explored, and several areas are identified in which changes to current practices would improve the quality, quantity, consistency, and accessibility of seabed image-derived data.

ELECTRONIC

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