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| Content Provider | IET Digital Library |
|---|---|
| Author | Tomei, Sonia Bacci, Alessio Giusti, Elisa Martorella, Marco Berizzi, Fabrizio |
| Abstract | The applicability of compressive sensing (CS) to radar imaging has been recently proven and its capability to construct reliable radar images from a limited set of measurements demonstrated. In this study, a common framework for inverse synthetic aperture radar (ISAR) imaging via CS is provided and a CS-based ISAR imaging method is proposed. The proposed method is tested for application such as image reconstruction from compressed data, resolution enhancement and image reconstruction from gapped data. The effectiveness of the proposed method is demonstrated on real datasets and the performance evaluated by means of image contrast. |
| Starting Page | 386 |
| Ending Page | 397 |
| Page Count | 12 |
| ISSN | 17518784 |
| Volume Number | 10 |
| e-ISSN | 17518792 |
| Issue Number | Issue 2, Feb (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/10/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0290 |
| Journal | IET Radar, Sonar & Navigation |
| Publisher Date | 2016-02-01 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Compressed Data Compressed Sensing Compressive Sensing-based Inverse Synthetic Radar Imaging Imaging CS-based ISAR Imaging Method Gapped Data Image Contrast Image Enhancement Image Reconstruction Image Resolution Incomplete Data Optical, Image And Video Signal Processing Performance Evaluation Radar Equipment Radar Imaging Resolution Enhancement Synthetic Aperture Radar System And Application |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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