Maximum Entropy Image Reconstruction from Microwave Scattered Field Distribution

All image reconstruction methods using microwave exploration run up against inverse problems such as inverse source or inverse scattering. These are ill-posed problems because of the nonuniqueness in the solution. In this paper we present a review of the image reconstruction by the analytical method to indicate the ill-posed character in the reconstruction based on the spectrum analysis. In order to remedy this situation we propose a new method based on the principle of maximum entropy, furthermore, this method operates in the spatial domain but not in the Fourier one. The obtained results show a significant improvement in image quality with only a few iterations.