现代雷达2025，Vol.47Issue(10)：1-9,9.DOI:10.16592/j.cnki.1004-7859.2025051901
空间目标迁移识别方法研究
A Study on Space Target Recognition Method Based on Transfer Learning
李品 1杜亮 1徐文玲 2黄鹤鸣 1吴春晓 1王怡 3程强1
作者信息
- 1. 南京电子技术研究所,江苏 南京 210039||雷达探测感知全国重点实验室,江苏 南京 210039
- 2. 解放军93236 部队,北京 100085
- 3. 南京电子技术研究所,江苏 南京 210039
- 折叠
摘要
Abstract
Space target recognition is a core technology in space situational awareness(SSA).Deep learning-based target recogni-tion techniques have been widely adopted due to their outstanding performance.However,due to differences in system architecture and bandwidth of Radar equipments and pose variations of targets,recognition models face the challenge of distributional discrepan-cies between training and testing datasets.Additionally,there is insufficient data accumulation in testing scenarios.To address these issues,this paper investigates transfer learning techniques for cross-modal,cross-frequency,and cross-pose adaptation.On the publicly available NASA-3D dataset,the proposed method achieves significant improvements in recognition accuracy and gener-alization performance compared to baseline methods.关键词
空间目标/迁移识别/卷积神经网络/数据增强/雷光迁移Key words
space target/transfer recognition/convolutional neural network/data augmentation/thunder-light migration分类
电子信息工程引用本文复制引用
李品,杜亮,徐文玲,黄鹤鸣,吴春晓,王怡,程强..空间目标迁移识别方法研究[J].现代雷达,2025,47(10):1-9,9.
