Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4540086 | Estuarine, Coastal and Shelf Science | 2013 | 13 Pages |
Abstract
⺠Multibeam acoustic variables can act as surrogates for marine biodiversity prediction modelling. ⺠Seafloor acoustic imagery can be accurately quantitatively classified with visual classes from AUV. ⺠Multibeam backscatter and bathymetry can be simultaneously utilised with image segmentation and modelling techniques. ⺠Random forest models outperform other models to predict the substratum and rugosity classes of acoustic data.
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Authors
Vanessa Lucieer, Nicole A. Hill, Neville S. Barrett, Scott Nichol,