BAYESIAN-APPROACH WITH THE MAXIMUM-ENTROPY PRINCIPLE IN IMAGE-RECONSTRUCTION FROM MICROWAVE SCATTERED FIELD DATA

被引:21
作者
NGUYEN, MK [1 ]
MOHAMMADDJAFARI, A [1 ]
机构
[1] UNIV CERGY PONTOISE,F-95014 CERGY,FRANCE
关键词
D O I
10.1109/42.293918
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Microwave imaging is of great interest in medical applications owing to its high sensitivity with respect to dielectric properties. It allows detection of very small inhomogeneities. The image reconstruction employing the microwave inverse scattering consists of reconstructing the image of an object from the scattered field measured behind the object. This reconstruction runs up against the nonuniqueness of the solution of the inverse scattering problem. In this communication, we propose to solve the ill-posed inverse problem by a statistical regularization method based on the Bayesian maximum a posteriori (MAP) estimation where the principle of maximum entropy (ME) is used for assigning the a priori laws. The results obtained demonstrate the power and potential of this method in image reconstruction.
引用
收藏
页码:254 / 262
页数:9
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