I. Introduction
Synthetic Aperture Radar (SAR) is an effective way of ground observation. Automatic target recognition for SAR images is an important technology in the field of remote sensing image interpretation. At present, the SAR automatic target recognition technology based on deep learning has a large demand for SAR image data, but the limited number of public SAR image data disadvantaged the training of deep learning networks. Therefore, it is necessary to explore an effective SAR image data augmentation method to obtain enough SAR image data.