A Multiple-Level Unsupervised Domain Adaptation Network for SAR Automatic Target Recognition

In recent years, synthetic aperture radar (SAR) automatic target recognition (ATR) has made significant progress alongside the rapid development of deep learning. Typically, deep learning-based SAR-ATR methods require a large amount of labeled data to train models, which presents a major challenge,...

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Bibliografiske detaljer

Principais autores:	Yifei Li, Timo Balz
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fag:	Contrastive learning domain adaptation pseudolabel synthetic aperture radar (SAR)–automatic target recognition (ATR) synthetic aperture radar (SAR) unsupervised learning
Online adgang:	https://ieeexplore.ieee.org/document/11214227/
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