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| Content Provider | IET Digital Library |
|---|---|
| Author | Clemente, Carmine Pallotta, Luca Proudler, Ian Maio, Antonio De Soraghan, John J. Farina, Alfonso |
| Abstract | The capability to exploit multiple sources of information is of fundamental importance in a battlefield scenario. Information obtained from different sources, and separated in space and time, provides the opportunity to exploit diversities to mitigate uncertainty. In this study, the authors address the problem of automatic target recognition (ATR) from synthetic aperture radar platforms. The author's approach exploits both channel (e.g. polarisation) and spatial diversity to obtain suitable information for such a critical task. In particular they use the pseudo-Zernike moments (pZm) to extract features representing commercial vehicles to perform target identification. The proposed approach exploits diversities and invariant properties of pZm leading to high confidence ATR, with limited computational complexity and data transfer requirements. The effectiveness of the proposed method is demonstrated using real data from the Gotcha dataset, in different operational configurations and data source availability. |
| Starting Page | 457 |
| Ending Page | 466 |
| Page Count | 10 |
| ISSN | 17518784 |
| Volume Number | 9 |
| e-ISSN | 17518792 |
| Issue Number | Issue 4, Apr (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/9/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2014.0296 |
| Journal | IET Radar, Sonar & Navigation |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2015-04-01 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Algebra ATR Battlefield Scenario Channel Diversity Data Transfer Requirements Feature Extraction Gotcha Dataset Image Recognition Limited Computational Complexity Military Radar Multichannel Synthetic Aperture Radar Platform Object Recognition PseudoZernike-based Multipass Automatic Target Recognition PZm Invariant Property Radar Equipment Radar Imaging Spatial Diversity Synthetic Aperture Radar System And Application Target Identification Uncertainty Mitigation Zernike Polynomials |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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