A neural-network-based model for 2D microwave imaging of cylinders

In this article, a neural network with radial-basis functions (RBF-NN) is applied to microwave imaging of cylinders. Initially, the shape function of the target cylinder is expanded by a Fourier series. The RBF-NN is trained by some direct-scattering data sets and thus can predict the images of the target cylinders. © 2004 Wiley Periodicals, Inc. Int J RF and Microwave CAE 14, 398–403, 2004.

[1]  R. Lewis.  Physical optics inverse diffraction , 1969 .

[2]  Kun-Chou Lee.  MUTUAL COUPLING ANALYSES OF ANTENNA ARRAYS BY NEURAL NETWORK MODELS WITH RADIAL BASIS FUNCTIONS , 2003 .

[3]  N. Bojarski,et al.  A survey of the physical optics inverse scattering identity , 1982 .

[4]  Ioannis T. Rekanos,et al.  Inverse scattering of dielectric cylinders by using radial basis function neural networks , 2001 .

[5]  I. R. Harris,et al.  Hydrogenation disproportionation desorption and recombination (HDDR) studies on direct-reduced Nd/sub 15/Fe/sub 77-x/B/sub 8/Ga/sub x/ powders , 1995 .

[6]  Ioannis T. Rekanos.  On-line inverse scattering of conducting cylinders using radial basis-function neural networks , 2001 .

[7]  L. H. Lewis,et al.  Phase composition and magnetic characteristics of inert gas-atomized RE-Fe-B-based powders , 1995 .

[8]  S.R.H. Hoole,et al.  Artificial neural networks in the solution of inverse electromagnetic field problems , 1993 .

[9]  J. Richmond.  Scattering by a dielectric cylinder of arbitrary cross section shape , 1965 .

[10]  Roger F. Harrington,et al.  Field computation by moment methods , 1968 .

[11]  Ioannis T. Rekanos,et al.  Neural-network-based inverse-scattering technique for online microwave medical imaging , 2002 .

[12]  F. Morabito,et al.  A neural network approach for the solution of electric and magnetic inverse problems , 1994 .

[13]  Satish S. Udpa,et al.  Solution of inverse problems in electromagnetics using Hopfield neural networks , 1995 .

[14]  Donald F. Specht,et al.  A general regression neural network , 1991, IEEE Trans. Neural Networks.

[15]  Paolo Gamba,et al.  Electromagnetic detection of dielectric cylinders by a neural network approach , 1999, IEEE Trans. Geosci. Remote. Sens..