Reference Map Generation for Synthetic Aperture Radar Based on CycleGAN

Abstract

The real-time closed-loop simulator of Synthetic Aperture Radar (SAR) needs to input the SAR radar reference map as the simulation target scene information in the process of simulation. However, it is difficult to obtain the scene map of SAR radar in the detection range that is realistic and consistent with the task target, and the data sets are limited. In this article, Cycle-Consistent Adversarial Networks (CycleGAN) is applied to realize the migration learning of SAR radar reference map and solve the task required of a directional generation of SAR images.