Research on the Design of SAR Target Image Simulation Generation Scheme

Deep learning is an essential technical means for the application of artificial intelligence in the field of perception, especially in the field of SAR target image recognition, which has shown excellent performance. Currently, deep learning heavily relies on data, and data quality is a key factor affecting SAR target image recognition. However, SAR images involved in the field of combat operations are difficult to obtain. To address the problem of insufficient data caused by this, it is crucial to generate effective SAR image data for model training and validation of artificial intelligence algorithms. This article proposes a framework for SAR target image simulation and generation tools, aiming to provide a data foundation for relevant artificial intelligence algorithm training and model performance verification work.