ISAR target recognition system design based on artificial intelligence

To solve the problem of real-time recognition of large quantities of ISAR data with multi-platform and multi-equipment, especially the issue of adaptive feature extraction of ISAR data, an ISAR target recognition system based on artificial intelligence is proposed. The system consists of three arrangements: data layer, recognition analysis layer, and presentation layer. The data layer extracts ISAR data according to different application scenarios; the recognition and analysis layer introduces deep learning algorithm for adaptively feature extraction, model training and optimizing, comprehensive identification and evaluation results analyzing. The presentation layer establishes stable and efficient information service based on the Web service framework and realizes a full cross-platform display of recognition results and feature information. By practice, the system improves the identification speed significantly and achieves real-time recognition of ISAR data, information push, and display across multi-platform, to effectively assist users in decision-making and evaluation judgment.