Title :
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
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2012.2183136
