Few-Shot Class-Incremental SAR Target Recognition Based on Hierarchical Embedding and Incremental Evolutionary Network

It is difficult to realize effective synthetic aperture radar (SAR) automatic target recognition (ATR) in open scenarios because the ATR model cannot continuously learn from new classes with limited training samples. When adding new classes to the previously trained model, the capability of recogniz...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023, Vol.61, p.1-11
Hauptverfasser:	Wang, Li, Yang, Xinyao, Tan, Haoyue, Bai, Xueru, Zhou, Feng
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Automatic target recognition Automatic target recognition (ATR) class-incremental learning (CIL) Classifiers Data models Embedding Feature extraction few-shot learning (FSL) New class SAR (radar) Synthetic aperture radar synthetic aperture radar (SAR) Target acquisition Target recognition Task analysis Training
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