Contrastive Domain Adaptation-Based Sparse SAR Target Classification under Few-Shot Cases

Due to the imaging mechanism of synthetic aperture radar (SAR), it is difficult and costly to acquire abundant labeled SAR images. Moreover, a typical matched filtering (MF) based image faces the problems of serious noise, sidelobes, and clutters, which will bring down the accuracy of SAR target cla...

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Detalhes bibliográficos

Principais autores:	Hui Bi, Zehao Liu, Jiarui Deng, Zhongyuan Ji, Jingjing Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-01-01
coleção:	Remote Sensing
Assuntos:	synthetic aperture radar (SAR) convolutional neural network (CNN) contrastive domain adaptation (CDA) few-shot learning target classification
Acesso em linha:	https://www.mdpi.com/2072-4292/15/2/469
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