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This is a novel unknown sar target identification method based on feature extraction networks and KLD-RPA joint discrimination. Experiment results form MSTAR dataset shows that our proposed Fea-DA achieves state of the art unknown sar target identification accuracy while maintaining the high recognition accuracy of known target.

  • Updated May 22, 2022
  • Python

苏州科技大学《人工智能开发实训 II》(2026.05)。实践二:MSTAR SAR半监督学习(FixMatch完整网格搜索+报告分节素材);实践三:锂离子电池SOH预测(三种划分+20次独立实验+消融);ResNet32 GA+PSO通道宽度搜索(H100/L40S)。附完整工具链、实验结果与答辩素材。

  • Updated May 27, 2026
  • Python

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