Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation

Convolutional neural networks (CNNs) have achieved high performance in synthetic aperture radar (SAR) automatic target recognition (ATR). However, the performance of CNNs depends heavily on a large amount of training data. The insufficiency of labeled training SAR images limits the recognition perfo...

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Autors principals:	Chenwei Wang, Xiaoyu Liu, Yulin Huang, Siyi Luo, Jifang Pei, Jianyu Yang, Deqing Mao
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-09-01
Col·lecció:	Remote Sensing
Matèries:	synthetic aperture radar (SAR) automatic target recognition (ATR) semi-supervised training loop process
Accés en línia:	https://www.mdpi.com/2072-4292/14/18/4547
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