Reflection tomography without picking

Microwave reflection tomography array for damage detection in concrete structures

2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278) ◽

10.1109/mwsym.2002.1011705 ◽

2003 ◽

Author(s):

Yoo Jin Kim ◽

L. Jofre ◽

F. De Flaviis ◽

M.Q. Feng

Keyword(s):

Damage Detection ◽

Concrete Structures ◽

Microwave Reflection ◽

Reflection Tomography

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A Bayesian filtering approach for inclusion detection with ultrasound reflection tomography

Journal of Physics Conference Series ◽

10.1088/1742-6596/124/1/012049 ◽

2008 ◽

Vol 124 ◽

pp. 012049 ◽

Cited By ~ 1

Author(s):

G Steiner ◽

D Watzenig

Keyword(s):

Bayesian Filtering ◽

Reflection Tomography ◽

Filtering Approach

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Diffuse optical reflection tomography using continuous wave illumination

Optics Express ◽

10.1364/oe.3.000118 ◽

1998 ◽

Vol 3 (3) ◽

pp. 118 ◽

Cited By ~ 40

Author(s):

Xuefeng Cheng ◽

David Boas

Keyword(s):

Continuous Wave ◽

Optical Reflection ◽

Reflection Tomography

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Theoretical and numerical issues in the determination of reflector depths in seismic reflection tomography

Journal of Geophysical Research Atmospheres ◽

10.1029/95jb00920 ◽

1995 ◽

Vol 100 (B7) ◽

pp. 12449-12458 ◽

Cited By ~ 17

Author(s):

Kenneth P. Bube ◽

Robert T. Langan ◽

Jeffrey R. Resnick

Keyword(s):

Seismic Reflection ◽

Reflection Tomography

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Angle-domain double-difference reflection tomography

10.1190/segam2017-17782821.1 ◽

2017 ◽

Cited By ~ 1

Author(s):

Tao Yang ◽

Jiubing Cheng ◽

Pengfei Duan ◽

Hong Liu

Keyword(s):

Double Difference ◽

Reflection Tomography

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Adaptive regridding in 3D reflection tomography

Annals of Geophysics ◽

10.4401/ag-3936 ◽

1997 ◽

Vol 40 (1) ◽

Author(s):

G. Böhm ◽

G. Rossi ◽

A. Vesnaver

Keyword(s):

Velocity Field ◽

A Priori ◽

A Priori Information ◽

Complex Velocity ◽

Variable Resolution ◽

Fitting Procedure ◽

Voronoi Polygons ◽

Fully Automatic ◽

Priori Information ◽

Reflection Tomography

3D reflection tomography allows the macro-model of complex geological structures to be reconstructed. In the usual approach, the spatial distribution of the velocity field is discretized by regular grids. This choice simplifies the development of the related software, but introduces two serious drawbacks: various domains of the model may be poorly covered, and a relevant mismatch between the grid and a complex velocity field may occur. So the tomographic inversion becomes unstable, unreliable and necessarily blurred. In this paper we introduce an algorithm to adapt the grid to the available ray paths and to the velocity field in sequence: so we get irregular grids with a locally variable resolution. We can guide the grid fitting procedure interactively, if we are going to introduce some geological a priori information; otherwise, we define a fully automatic approach, which exploits the Delauny triangles and Voronoi polygons.

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