A Metalearning-based Sparse Aperture ISAR Imaging Method

Sparse Aperture-Inverse Synthetic Aperture Radar (SA-ISAR) imaging methods aim to reconstruct high-quality ISAR images from the corresponding incomplete ISAR echoes. The existing SA-ISAR imaging methods can be roughly divided into two categories: model-based and deep learning-based methods. Model-ba...

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Bibliografiske detaljer

Principais autores:	Jingyuan XIA, Zhixiong YANG, Zhixing ZHOU, Huaizhang LIAO, Shuanghui ZHANG, Yaowen FU
Format:	Artigo
Sprog:	Inglês
Udgivet:	China Science Publishing & Media Ltd. (CSPM) 2023-08-01
Serier:	Leida xuebao
Fag:	inverse synthetic aperture radar (isar) sparse aperture-isar (sa-isar) imaging learning aided non-convex optimization meta-learning
Online adgang:	https://radars.ac.cn/cn/article/doi/10.12000/JR23121
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