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 Pizarro, O., Williams, S.B. & Colquhon, J. |
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Topic-based habitat classification using visual data
Prococeedings of Oceans 2009 IEEE Bremen, 2009
Presented at Oceans 2009 IEEE Bremen, Bremen, Germany, 11 May. - 14 May. 2009
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Abstract
It is now common to quasi-automatically generate acoustic bathymetry and optical mosaics from instrumented Autonomous Underwater Vehicles (AUVs). However, further analysis and interpretation of gathered data is needed to address tasks such as habitat characterization and monitoring. This analysis stage is performed by human experts which limits the amount and speed of data processing. While it is unlikely that machines will match humans at fine-scale classification, machines can now perform preliminary, coarser classification to provide timely and relevant feedback to assist human decisions and enable adaptive AUV behavior. This paper presents a preliminary investigation into using a
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