Few-shot HRRP recognition with distance-based distribution calibration and dynamic pseudo-label fine-tuning

Kuo Liao; Shupeng Peng; Xuesi He; Zhenjie Tian; Jiyan Huang

doi:10.1117/12.2668396

20 April 2023 Few-shot HRRP recognition with distance-based distribution calibration and dynamic pseudo-label fine-tuning

Kuo Liao, Shupeng Peng, Xuesi He, Zhenjie Tian, Jiyan Huang

Author Affiliations +

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126021C (2023) https://doi.org/10.1117/12.2668396
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

In recent years, radar high-resolution range profile target recognition(HRRP) based on deep learning has achieved good result in practical recognition tasks. However, due to the limitations of various conditions in the realistic environment, it is difficult to obtain enough samples, which greatly limits recognition performance. From the perspective of transfer learning, this paper proposes a target recognition method of few HRRPs based on distance-based distribution calibration and dynamic pseudo-label fine-tuning(FCPL). This method calibrates the distribution of the features of target domain samples according to the distance in the feature space. Moreover, it creates pseudo-labels with source data in the label space of the target domain to fine-tune the model. Experimental results show that the method this paper proposed achieves higher recognition accuracy than traditional transfer learning and meta-learning on four types of few-shot targets. In addition, the method can be built on most model structures or methods and achieve the smooth transition from few-shot target recognition task to many-shot task.

Citation Download Citation

Kuo Liao, Shupeng Peng, Xuesi He, Zhenjie Tian, and Jiyan Huang "Few-shot HRRP recognition with distance-based distribution calibration and dynamic pseudo-label fine-tuning", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126021C (20 April 2023); https://doi.org/10.1117/12.2668396

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KEYWORDS

Education and training

Calibration

Feature extraction

Radar

Target recognition

Scattering

Data modeling

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