%0 Journal Article
%T Forward modeling for marine sediment characterization using chirp sonars
%+ Extraction et Exploitation de l'Information en Environnements Incertains (E3I2)
%+ Laboratoire de Mécanique et d'Acoustique [Marseille] (LMA )
%+ Géosciences Marines (GM)
%A Rakotonarivo, Sandrine
%A Legris, Michel
%A Desmare, Rozenn
%A Sessarego, Jean-Pierre
%A Bourillet, Jean-François
%Z WOS
%< avec comité de lecture
%@ 0016-8033
%J Geophysics
%I Society of Exploration Geophysicists
%V 76
%N 4
%P T91-T99
%8 2011-06-13
%D 2011
%R 10.1190/1.3590717
%K remote sensing by radar
%K sediments
%K sonar
%K underwater sounds
%Z Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
%Z Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]
%Z Environmental Sciences/Global Changes
%Z Engineering Sciences [physics]/Acoustics [physics.class-ph]
%Z Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph]Journal articles
%X This paper investigates the forward modeling of chirpsonar data for the quantitative characterization of marine subbottom sediment between 1 and 10 kHz. The forward modeling, based on a transfer function approach, included impacts of layering or impedance mismatch, attenuation, roughness, and transitional layers, i.e., continuous impedance variations. The presented approach provided the best compromise between the number of available geoacoustic parameters from chirp-sonar data and the subbottom modeling accuracy. The forward model was tested on deep-sea chirp-sonar data acquired at a central frequency of 3.5 kHz. Comparisons between synthetic and experimental seismograms showed good agreement for the first 15 m of buried layers. Performance of the inversion using this forward model was also examined through sensitivity analysis. The results suggested that estimations of layer thickness, impedance, and transitional layer thickness were robust, whereas roughness and attenuation estimations were subject to wavelength and layer thickness conditions.
%G English
%L hal-00626524
%U https://hal-ensta-bretagne.archives-ouvertes.fr/hal-00626524
%~ SDE
%~ ENSTA-BRETAGNE
%~ CNRS
%~ UNIV-AMU
%~ IFREMER
%~ LMA_UPR7051
%~ ENSTA-BRETAGNE-STIC
%~ EC-MARSEILLE
%~ ENSIETA-E3I2
%~ GIP-BE