Few-shot SAR target classification via meta-learning with hybrid models

Few-shot SAR target classification via meta-learning with hybrid models

Currently, in Synthetic Aperture Radar Automatic Target Recognition (SAR ATR), few-shot methods can save cost and resources while enhancing adaptability. However, due to the limitations of SAR imaging environments and observation conditions, obtaining a large amount of high-value target data is chal...

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Bibliographic Details
Main Authors:	Qingtian Geng, Yaning Wang, Qingliang Li
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-11-01
Series:	Frontiers in Earth Science
Subjects:	few-shot learning (FSL) adaptive dynamic weight hybrid model synthetic aperture radar automatic target recognition meta-learning
Online Access:	https://www.frontiersin.org/articles/10.3389/feart.2024.1469032/full
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