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...
| Published in: | Leida xuebao |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
China Science Publishing & Media Ltd. (CSPM)
2023-08-01
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| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR23121 |
