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Benthic habitat mapping with autonomous underwater vehicles


Davie, A and Hartmann, K and Timms, G and DeGroot, M and McCulloch, J, Benthic habitat mapping with autonomous underwater vehicles, Oceans 2008, 2008, (2008) pp. 1-9. ISSN 1522-3167 (2008) [Refereed Article]

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Copyright Statement

Copyright © 2008 IEEE

DOI: doi:10.1109/OCEANS.2008.5151927


We provide an outline of an autonomous benthic habitat mapping algorithm. This algorithm enables real-time on-board classification of images gathered by an autonomous underwater vehicle (AUV), with the ability to classify aquatic vegetation at a resolution approaching the species level. The algorithm is generic with respect to both the classification task and the imaging equipment being used. For example, it may be used to detect objects rather than habitat types using hyperspectral rather than visible light cameras.

Item Details

Item Type:Refereed Article
Research Division:Mathematical Sciences
Research Group:Applied mathematics
Research Field:Biological mathematics
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Hartmann, K (Dr Klaas Hartmann)
ID Code:71696
Year Published:2008
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2011-08-02
Last Modified:2011-08-02
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