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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Published in | Inverse problems Vol. 32; no. 9; pp. 95002 - 95029 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.09.2016
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Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | IP-100689.R2 |
ISSN: | 0266-5611 1361-6420 |
DOI: | 10.1088/0266-5611/32/9/095002 |