Chien-Ching Chiu, Po-Hsiang Chen, Yen-Chen Chang, Eng Hock Lim
This paper presents a DSM-initialized U-Net framework for reconstructing the shape of a perfectly conducting target buried in a slab medium from measured electromagnetic scattered fields. The conductive target is irradiated with Transverse Electric (TE) waves, followed by the acquisition of the resulting scattered fields. These scattered field data were first used for forward scattering calculations with the Method of Moments (MoM), followed by preliminary shape reconstruction using the DSM. The preliminary images received from the DSM were then input into a U-Net for imaging. Compared with the free space case, the slab medium condition limited the incident and receiving angles. Numerical results indicate that the standalone DSM provides only an approximate estimate of the conductor profile, whereas the proposed DSM-U-Net framework achieves average NRMSE values of 6.90% under 5% Gaussian noise and 8.95% when trained with 5% noise and tested with 10% noise.