Abstract:Due to the shortage of Synthetic Aperture Sonar (SAS) image datasets, the development of many underwater tasks is hindered. To tackle this problem, coupling optical rendering and image-to-image translation is a novel and feasible way. However, because of the big gap between simulated optical images and real SAS images, the performances of existing works are not desired and have plenty of room for improvement. In this paper, we introduce a Self-Perceptual Generative Adversarial Network (SPerGAN) which can contr… Show more
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