ISAR Image Inpainting Algorithm Based on DCGAN

An ISAR image inpainting algorithm based on DCGAN was proposed to solve the problem that the image quality of ISAR imaging algorithm is reduced after interference. The proposed algorithm combines the theory of convolution and designs a network framework to complete ISAR image inpainting. The simulation results show that the peak signal to noise ratio and structural similarity index of the proposed algorithm are 28.51 and 0.90 respectively, which are higher than two other inpainting algorithms, and effectively improve the quality of ISAR images.