eCite Digital Repository

Benthic habitat mapping with autonomous underwater vehicles

Citation

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]

PDF
Restricted - Request a copy
1Mb
  

Copyright Statement

Copyright © 2008 IEEE

DOI: doi:10.1109/OCEANS.2008.5151927

Abstract

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:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management of Coastal and Estuarine Environments
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
Downloads:1 View Download Statistics

Repository Staff Only: item control page