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Poster

Towards the automation of sand dune detection in the bathymetry

Julien Ogor 1, 2 Benoit Zerr 1, 2
1 Lab-STICC_ENSTAB_CID_PRASYS ; OSM
STIC - Pôle STIC [Brest], Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Lab-STICC_ENSTAB_CID_PRASYS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Introduction The advances in echo sounder (MultiBeam EchoSounder) and positioning (GPS) technologies of the past two decades enabled us to survey larger areas, faster and more accurately. The collected data show how diverse underwater sand dunes are in terms of shape, spatial organization, dimensions, dynamics, etc. To deal with this large amount of bathymetric data, manual processing appears outdated. By consequent, tools allowing to quantitatively describe their morphology and dynamics have been developed [1,2,3]. It mainly enables to objectively characterize the sand dunes and banks. Unlike the existing tools, we aim at describing each dune independently with a set of morphometric parameters. With this goal of dune characterization, the first step consists in detecting the dunes in the bathymetry. As a preliminary approach, we propose a detection technique inspired from geomorphometry.
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https://hal.archives-ouvertes.fr/hal-01373458
Contributeur : Annick Billon-Coat <>
Soumis le : mercredi 28 septembre 2016 - 17:40:25
Dernière modification le : mercredi 24 juin 2020 - 16:19:56

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  • HAL Id : hal-01373458, version 1

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Julien Ogor, Benoit Zerr. Towards the automation of sand dune detection in the bathymetry. Marine and River Dune Dynamics Conference, Apr 2016, Gwynned, United Kingdom. 2016. ⟨hal-01373458⟩

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