Thesis
Learning from sonar data for the classification of underwater seabeds
- Abstract:
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The increased use of sonar surveys for both industrial and leisure activities has motivated the research for cost effective, automated processed for seabed classification. Seabed classification is essential for many fields including dredging, environmental studies, fisheries research, pipeline and cable route surveys, marine archaeology and automated underwater vehicles. The advancement in both sonar technology and sonar data storage has led to large quantities of sonar data being collecte...
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Authors
Contributors
+ Probert Smith, P
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
Funding
Bibliographic Details
- Publication date:
- 2005
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:11a17b77-6e17-409e-9a6e-d19c13b86709
- Local pid:
- ora:5363
- Deposit date:
- 2011-05-23
Terms of use
- Copyright holder:
- Louis Atallah
- Copyright date:
- 2011
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