DocumentCode :
385722
Title :
An ART algorithm for imaging of buried cylindrical bodies illuminated by Gaussian beams
Author :
Dikmen, Fatih ; Alkumru, Ali ; YILDIRIM, Osman
Author_Institution :
Dept. of Electron. Eng., Gebze Inst. of Technol., Kocaeli, Turkey
Volume :
1
fYear :
2002
fDate :
10-13 Sept. 2002
Firstpage :
293
Abstract :
The purpose of this work is to develop an algebraic reconstruction technique (ART) algorithm to solve the electromagnetic inverse scattering problem the aim of which is to recover the electromagnetic properties as well as the geometry of infinitely long cylindrical bodies buried in a half space. The problem then consists of finding the constitutive parameters of the buried body by using the data collected throughout the measurements along a line in the half space not containing the body. The buried body is illuminated by a Gaussian beam which is excited in the same region where the data are collected. The problem considered here can also be interpreted as the use of an iterative algorithm of the ART type which basically consists of an application of the Kaczmarz method to solve an inverse scattering problem related to buried cylindrical bodies illuminated by Gaussian beams.
Keywords :
Fourier transforms; buried object detection; electromagnetic wave scattering; image reconstruction; inverse problems; iterative methods; remote sensing; tomography; ART algorithm; Fourier transform; Gaussian beams; Kaczmarz method; algebraic reconstruction technique; buried cylindrical bodies; constitutive parameters; electromagnetic inverse scattering problem; half space; infinitely long cylindrical bodies; iterative algorithm; Computed tomography; Conducting materials; Dielectric materials; Electromagnetic scattering; Geometry; Image reconstruction; Inverse problems; Iterative algorithms; Iterative methods; Subspace constraints;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mathematical Methods in Electromagnetic Theory, 2002. MMET '02. 2002 International Conference on
Conference_Location :
Kiev, Ukraine
Print_ISBN :
0-7803-7391-X
Type :
conf
DOI :
10.1109/MMET.2002.1106888
Filename :
1106888
Link To Document :
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