AEBR 239 Best practice in seabed image analysis for determining taxa, habitat, or substrata distributions.

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AEBR-239-Best-Practice-In-Seabed-Image-Analysis.pdf

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AEBR-239-Best-Practice-In-Seabed-Image-Analysis.pdf (2.0 MB)

Abstract
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.

Document date
Tuesday, 5 May 2020

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V 1.3

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Adobe PDF

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2.0 MB

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239

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AEBR-239-Best-Practice-In-Seabed-Image-Analysis.pdf

Uploaded date
Tuesday, 5 May 2020

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AEBR: 239;
ISSN: 1179-6480;
ISBN: 978-1-99-001774-2;
AUTHOR: Bowden, D.A.; Rowden, A.A.; Chin, C.; Hempel, S.; Wood, B.; Hart, A.; Clark, M.R.;

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