Abstract
Deep learning is a new and efficient learning method. It uses computers as information processing tools to effectively apply knowledge, experience and non-cognitive abilities, and obtain required information at different levels. Due to the complexity of ground information and the efficiency of deep learning, this paper proposes the development of a ground target recognition system based on deep learning technology. The purpose is to master the deep learning method and improve the accuracy of the recognition system. This article mainly uses experimental method and case analysis method to carry out correlation analysis and experiment on ground target image recognition technology. The experimental results show that the accuracy of the SAR algorithm of the ground target recognition system with mirror image reaches 92%, which is suitable for the research and development of the system.
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