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Proceedings Paper

Deep seafloor characterization with multibeam echosounders by image segmentation using angular acoustic variations
Author(s): Samantha Dugelay; Christine Graffigne; J. M. Augustin
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Paper Abstract

The new generation of low-frequency echosounders, primarily used for bathymetric purposes, are also able to record acoustic images of the sea floor. Reflected energy, as a function of the incidence angle, is known to be strongly dependent on seabed type, and therefore stands as a potential tool in sea floor characterization. On the other hand, acoustic images of the reflected energy, illustrate the variability of the acoustic interface and are invaluable for sea floor cartography. In this paper we describe a method of semi-automatic mosaic interpretation where the two different aspects are considered simultaneously. This is achieved by supervised segmentation using a Markov Random Field model where the neighborhood system and energies have been carefully studied in order to comply to a priori knowledge. We present results obtained with this method, enhancing the possibility of using such a technique for low- frequency echosounders.

Paper Details

Date Published: 8 October 1996
PDF: 12 pages
Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); doi: 10.1117/12.253450
Show Author Affiliations
Samantha Dugelay, Service Developpement de Systemes Informatiques (France)
Christine Graffigne, Univ. de Paris V (France)
J. M. Augustin, Service Developpement de Systemes Informatiques (France)

Published in SPIE Proceedings Vol. 2823:
Statistical and Stochastic Methods for Image Processing
Edward R. Dougherty; Francoise J. Preteux; Jennifer L. Davidson, Editor(s)

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