Advancing SAR Target Recognition Through Hierarchical Self-Supervised Learning with Multi-Task Pretext Training

Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) systems face significant challenges due to limited labeled data availability and persistent domain gaps between synthetic and measured imagery. This paper presents a comprehensive self-supervised learning (SSL) framework that eliminat...

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Bibliografski detalji

Glavni autori:	Md Al Siam, Dewan Fahim Noor, Mandoye Ndoye, Jesmin Farzana Khan
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-12-01
Serija:	Sensors
Teme:	machine learning deep learning self-supervised learning (SSL) remote sensing computer vision signal processing
Online pristup:	https://www.mdpi.com/1424-8220/26/1/122
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