Auto-derivation of in-shore and channel water depth via aerial images: a low-cost approach using artificial neural networks

Nguyen, Thi, Wheeler, Peter, Peterson, Jim and Gordon-Brown, Lee 2009, Auto-derivation of in-shore and channel water depth via aerial images: a low-cost approach using artificial neural networks, in SSC 2009 : Spatial diversity : Proceedings of the Surveying & Spatial Sciences Institute 2009 Biennial International Conference, Surveying & Spatial Sciences Institute, Adelaide, S. A., pp. 547-557.

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Title Auto-derivation of in-shore and channel water depth via aerial images: a low-cost approach using artificial neural networks
Author(s) Nguyen, Thi
Wheeler, Peter
Peterson, Jim
Gordon-Brown, Lee
Conference name Surveying & Spatial Sciences Institute. Biennial International Conference ( 2009 : Adelaide, S. A.)
Conference location Adelaide, S. A.
Conference dates 28 Sep. - 2 Oct. 2009
Title of proceedings SSC 2009 : Spatial diversity : Proceedings of the Surveying & Spatial Sciences Institute 2009 Biennial International Conference
Editor(s) Ostendorf, Bertram
Baldock, Penny
Bruce, David
Burdett, Mike
Corcoran, Paul
Publication date 2009
Conference series Surveying & Spatial Sciences Institute Biennial International Conference
Start page 547
End page 557
Total pages 11
Publisher Surveying & Spatial Sciences Institute
Place of publication Adelaide, S. A.
Keyword(s) auto-derivation
aerial images
inshore depth
channel water depth
artificial neural networks
coastal zones
bathymetric survey
ISBN 9780958136686
Language eng
Field of Research 170205 Neurocognitive Patterns and Neural Networks
Socio Economic Objective 961401 Coastal and Estuarine Soils
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30056315

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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