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- W766561574 abstract "This thesis addresses the problem of automated underwater optical image characterization. Remote underwater optical sensing allows the collection and storage of vast amounts of data for which manual classification may take months. Supervised automated classification of such datasets can save time and resources and can also enable extraction of valuableinformation related to marine and geological research" @default.
- W766561574 created "2016-06-24" @default.
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- W766561574 date "2014-03-28" @default.
- W766561574 modified "2023-09-24" @default.
- W766561574 title "Automated underwater object classification using optical imagery" @default.
- W766561574 hasPublicationYear "2014" @default.
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