par Siemes, Kerstin;Snellen, Mirjam;Simons, Dick G. 
;Hermand, Jean-Pierre ;Meyer, Matthias ;Le Gace, J.C.
Référence Proceedings - European Conference on Noise Control, page (4261-4266)
Publication Publié, 2008
;Hermand, Jean-Pierre ;Meyer, Matthias ;Le Gace, J.C.Référence Proceedings - European Conference on Noise Control, page (4261-4266)
Publication Publié, 2008
Article révisé par les pairs
| Résumé : | For shallow water naval operations, obtaining rapidly an accurate picture of the environmental circumstances often is of high importance. The required information typically concerns water column properties, sea surface roughness, and sediment geo-acoustic properties. Hereto a multi-sensor approach is required. In this context, the BP'07 experiment has been carried out south of Elba (Mediterranean Sea), where several techniques of environmental characterization have been combined. A part of BP'07 was dedicated to measurements carried out with a multibeam echosounder. This system provides depth information, but also allows for seafloor classification. The classification approach taken is model-based employing the backscatter data. It discriminates between sediments in the most optimal way by applying the Bayes decision rule for multiple hypotheses, implicitly accounting for ping-to-ping variability in backscatter strength. For validating the resulting geo-acoustic estimates sediment samples were collected. Here, besides the analysis of the depth measurements, the results of the seafloor classification using the multibeam data and a preliminary comparison with the sediment sample analysis are presented. |
