Introducing shape constraints into object-based traveltime tomography

Traveltime tomography is a difficult, ill-posed reconstruction problem due to the nonlinearity of the forward model and the limited number of measurements usually available. In such an adverse situation, pixel-based regularization methods are generally unable to provide satisfactory reconstructions....

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Bibliographic Details
Published inInverse problems Vol. 32; no. 9; pp. 95002 - 95029
Main Authors Gaullier, G, Charbonnier, P, Heitz, F, Côte, P
Format Journal Article
LanguageEnglish
Published IOP Publishing 01.09.2016
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Summary:Traveltime tomography is a difficult, ill-posed reconstruction problem due to the nonlinearity of the forward model and the limited number of measurements usually available. In such an adverse situation, pixel-based regularization methods are generally unable to provide satisfactory reconstructions. In this paper we propose a novel object-based reconstruction method that introduces prior information about the shape of the structures to be reconstructed, which yields high quality geoacoustic inversion. The proposed method approaches the forward model by a series of linear problems, leading to a sequence of minimizations during which the shape prior is introduced. The method is demonstrated on synthetic and real data, collected on a specific bench dedicated to non-destructive testing of civil engineering structures.
Bibliography:IP-100689.R2
ISSN:0266-5611
1361-6420
DOI:10.1088/0266-5611/32/9/095002