With the continuous development of Synthetic Aperture Radar (SAR) technology, radar image target recognition has become an important research direction.In recent years, Deep Learning (DL) technology has been widely used in radar image target detection and recognition.However, small data sample size and unbalanced data sample categories have become important factors limiting the application of DL to SAR image target recognition.The DL-based algorithms of SAR image target recognition are analyzed.Firstly, the common data sets for SAR image target recognition and multi-angle SAR image target recognition methods are introduced.Then, the problems of small data sample size and unbalanced sample categories in SAR image target recognition are summarized respectively.Finally, the remaining problems in SAR image target recognition and the research plan of the next step are discussed.