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Radar Change Imaging With Undersampled Data Based on Matrix Completion and Bayesian Compressive Sensing

  • Published:2015-07 Issue:7 Volume:12 Page:1546-1550
  • ISSN:1545-598X
  • Container-title:IEEE Geoscience and Remote Sensing Letters
  • language:
  • Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Hui Bi ,Chenglong Jiang ,Bingchen Zhang ,Zhengdao Wang ,Wen Hong

Funder

National Basic Research Program of China (973 Program)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Cited by 15 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. Target Imaging and Displacement Estimation via SFCW Based MIMO Radar Based on Structured Matrix Completion;2023 6th International Conference on Information Communication and Signal Processing (ICICSP);2023-09-23

2. SAR Change Imaging in the Sparse Transforming Domain Based on Compressed Sensing;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

3. Reduced-Space Relevance Vector Machine for Adaptive Electrical Capacitance Volume Tomography;IEEE Transactions on Computational Imaging;2022

4. Advanced THz MIMO Sparse Imaging Scheme Using Multipass Synthetic Aperture Focusing and Low-Rank Matrix Completion Techniques;IEEE Transactions on Microwave Theory and Techniques;2022-01

5. Synthetic Aperture Radar Increment Imaging Based on Compressed Sensing;IEEE Geoscience and Remote Sensing Letters;2022
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