FCNN-Based ISAR Sparse Imaging Exploiting Gate Units and Transfer Learning

Author:

Hu ChangyuORCID,Wang LingORCID,Zhu DaiyinORCID,Zhang GongORCID,Loffeld OtmarORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Aviation Science Foundation

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Fundamental Research Funds for Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SAR Nonsparse Scene Reconstruction Network via Image Feature Representation Learning;IEEE Transactions on Geoscience and Remote Sensing;2024

2. PIN: Sparse Aperture ISAR Imaging via Self-Supervised Learning;IEEE Geoscience and Remote Sensing Letters;2024

3. An ISAR Autofocus Imaging Algorithm Based on FCN and Transfer Learning;2023 24th International Radar Symposium (IRS);2023-05-24

4. Abnormal Dynamic Recognition of Space Targets From ISAR Image Sequences With SSAE-LSTM Network;IEEE Transactions on Geoscience and Remote Sensing;2023

5. LRSR-ADMM-Net: A Joint Low-Rank and Sparse Recovery Network for SAR Imaging;IEEE Transactions on Geoscience and Remote Sensing;2022

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