volume | PIER Journals

Abstract

A deep learning linear sampling method (DLSM), composed of linear sampling method (LSM) and a convolutional neural network (CNN) of U-Net, is proposed to restore shape of multilayered scatterers with cylindrical or rectangular cross section. Simulations over random samples with different geometrical parameters are used to verify the efficacy of the proposed method.

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Dr. Yu-Hsin Kuo

Prof. Jean-Fu Kiang