The Comparison of deep learning recognition methods based on SAR image

Abstract

Aiming at the problem of Synthetic Aperture Radar (SAR) target recognition, a new deep learning method is proposed. The Stacked Auto Encoder (SAE) network and the convolutional Neural Network (CNN) have remarkable performance. Through the implementation and comparison of these methods, it is shown that the proposed deep learning recognition method has strong adaptability to different situations and has robustness to attitude angle, background and noise.