Abstract
In this work, a Polarimetric Interferometric In-verse Synthetic Aperture Radar (PolInISAR) based approach is outlined for the 3-D imaging of non-cooperative targets. The role of polarimetry is proven vital here as it allows to select the optimal scattering coefficients combination through which the highest coherence can be obtained. The highest coherence reduces any chance of uncertainties in the phase estimation. Consequently, with the accurate phase, the accurate 3-D image can be reconstructed under the form of 3-D cloud. For the validation of the proposed methodology, the real Tank-72 full-polarimetric ISAR dataset is implemented. The reconstructed result is found to be better superimposing with the original Tank-72 CAD model.
Original language | English |
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Title of host publication | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 385-388 |
Number of pages | 4 |
ISBN (Electronic) | 9781665427920, 9781665427913 (USB) |
ISBN (Print) | 9781665427937 (PoD) |
DOIs | |
Publication status | Published - 28 Sept 2022 |
Event | 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia Duration: 17 Jul 2022 → 22 Jul 2022 |
Publication series
Name | IEEE International Geoscience and Remote Sensing Symposium proceedings |
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Publisher | IEEE |
ISSN (Print) | 2153-6996 |
ISSN (Electronic) | 2153-7003 |
Conference
Conference | 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 |
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Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 17/07/22 → 22/07/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- 3-D imaging
- coherence optimization
- Interferometry
- ISAR
- Polarimetry
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences