Imaging Below Irregular Terrain Using RF Tomography

Author

Monte, Lorenzo Lo ; Soldovieri, Francesco ; Erricolo, Danilo ; Wicks, Michael C.

Author_Institution

Univ. of Dayton Res. Inst., Dayton, OH, USA

Volume

50

Issue

9

fYear

2012

Firstpage

3364

Lastpage

3373

Abstract

Radio-frequency (RF) tomography is extended for imaging underground structures and tunnels assuming rough terrain. The theory of RF tomography described in an earlier paper remains applicable, provided that a numerical Green´s function is computed. An FFT-based and intrinsically parallel method for obtaining numerical Green´s functions is described. This method is corroborated with explicit formulas and implemented for RF tomography. Simulated data computed using a finite-difference time-domain code are used to demonstrate performance.

Keywords

Green´s function methods; fast Fourier transforms; finite difference time-domain analysis; geophysical image processing; radiofrequency imaging; remote sensing; tomography; FFT based method; RF tomography theory; below irregular terrain imaging; finite difference time domain code; numerical Green function; radiofrequency tomography; tunnels; underground structure imaging; Dielectrics; Green´s function methods; Mathematical model; Radio frequency; Tomography; Vectors; Green´s functions; RF tomography; ground-penetrating radar; inverse problems; tunnel detection;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/TGRS.2012.2183136

Filename

6158593