ISAR target recognition system design based on artificial intelligence

摘要

To solve the problem of real-time recognition of large quantities of ISAR data with multi-platform and multiequipment,especially the issue of adaptive feature extraction of ISAR data, an ISAR target recognition system based onartificial intelligence is proposed. The system consists of three arrangements: data layer, recognition analysis layer, andpresentation layer. The data layer extracts ISAR data according to different application scenarios; the recognition andanalysis 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 efficientinformation service based on the Web service framework and realizes a full cross-platform display of recognition resultsand feature information. By practice, the system improves the identification speed significantly and achieves real-timerecognition of ISAR data, information push, and display across multi-platform, to effectively assist users in decisionmakingand evaluation judgment.