Fisheries Infosite

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

Filename
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
Document type
V 1.3
File format
Adobe PDF
File size
2.0 MB
Reference number
AEBR 239
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AEBR-239-Best-Practice-In-Seabed-Image-Analysis.pdf

Uploaded date
Tuesday, 5 May 2020

Search tags
SEARCH: 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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