Unsupervised Bayesian reconstruction of microwave images from real data

Author

Ferraiuolo, Giancarlo ; Pascazio, Vito ; Ronza, Vittorio

Author_Institution

Dipt. de Ingegneria Elettronica e delle Telecomunicazioni, Univ. di Napoli Federico II, Italy

Volume

6

fYear

2003

fDate

21-25 July 2003

Firstpage

3842

Abstract

We address the problem of non-linear microwave imaging for the reconstruction of dielectric profiles. We propose a statistical based inversion algorithm, adopting the Bayesian (MAP) framework and a complex Gaussian MRF model for the image. The use of statistical algorithms for the estimation of the complex MRF parameter leads to a robust and effective non-linear inversion method. Some experiments on real data are able to show the good performance of the method.

Keywords

Markov processes; geophysical techniques; image reconstruction; inverse problems; maximum likelihood estimation; microwave imaging; MAP; Markov random field modeling; Maximum A Posteriori estimation technique; complex Gaussian MRF model; complex MRF parameter; dielectric profiles reconstruction; microwave images; nonlinear inversion method; nonlinear microwave imaging; robust; statistical algorithms; statistical based inversion algorithm; unsupervised Bayesian reconstruction; Bayesian methods; Buried object detection; Cost function; Electronic mail; Ground penetrating radar; Image reconstruction; Microwave imaging; Radar detection; Radar scattering; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1295288

Filename

1295288