Graph-Based Few-Shot Learning for Synthetic Aperture Radar Automatic Target Recognition with Alternating Direction Method of Multipliers

Synthetic aperture radar (SAR) automatic target recognition (ATR) underpins various remote sensing tasks, such as defense surveillance, environmental monitoring, and disaster management. However, the scarcity of annotated SAR data significantly limits the performance of conventional data-driven meth...

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Principais autores:	Jing Jin, Zitai Xu, Nairong Zheng, Feng Wang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-03-01
Serija:	Remote Sensing
Teme:	synthetic aperture radar (SAR) automatic target recognition (ATR) few-shot learning (FSL) alternating direction method of multipliers (ADMM) graph convolutional network (GCN)
Online dostop:	https://www.mdpi.com/2072-4292/17/7/1179
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