Skip to Main content Skip to Navigation
Theses

Design of algorithms for the automatic characterization of marine dune morphology and dynamics

Abstract : Marine dunes are large sedimentary mounds often organized in dunefields. Theyhave been discovered in oceans all around the globe, from continental rises to nearshore areas. These mobile seafloor structures reflect the unique and complex relationship between the sediment, the seafloor topography and the hydrodynamics (currents). Dunes are not only interesting at a scientific level. In fact, their study is also motivated by economic, safety and environmental reasons. The study of dunes can be divided into two complementary approaches: Modelling and analysis of in situ data (granulometry, current, bathymetric data).The increased quality of MultiBeam EchoSounder (MBES) data allows scientists to monitor and visualize the complexity of, both, dune morphology and dynamics. Au-tomatic methods to characterize dune morphology and dynamics using Digital TerrainModels (DTMs) have already been proposed. But, none does it at the dune scale. Mor-phological and dynamical descriptors are estimated for patches of the dunefield. Today, the evaluation of such descriptors for each dune can only be achieved manually.The objective of this thesis is to design automatic algorithms for the quantification of dune morphology and dynamics. A representation of MBES data as triangular meshes has been preferred to the usual gridded DTMs. The first stage consists of delineating dunes in the seafloor. A scale adaptative, region growing algorithm based on geomorphometry is proposed. The combination of mesh implification and crest extraction algorithms enables to accurately recover dune crest lines. The mesh simplification facilitates the crest extraction by adapting the mesh resolution. Crest extraction is based on the discrete interpretation of the definition of crest lines in differential geometry. The crests are, then, used as seed regions by the dune extraction algorithm.
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-02354454
Contributor : ABES STAR :  Contact
Submitted on : Thursday, November 7, 2019 - 5:14:18 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM
Long-term archiving on: : Sunday, February 9, 2020 - 12:49:01 AM

File

2018_julien_ogor.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-02354454, version 1

Citation

Julien Ogor. Design of algorithms for the automatic characterization of marine dune morphology and dynamics. Ocean, Atmosphere. ENSTA Bretagne - École nationale supérieure de techniques avancées Bretagne, 2018. English. ⟨NNT : 2018ENTA0005⟩. ⟨tel-02354454⟩

Share

Metrics

Record views

226

Files downloads

12