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Sparse Aperture InISAR Imaging via Sequential Multiple Sparse Bayesian Learning
Interferometric inverse synthetic aperture radar (InISAR) imaging for sparse-aperture (SA) data is still a challenge, because the similarity and matched degree between ISAR images from different channels are destroyed by the SA data. To deal with this problem, this paper proposes a novel SA–InISAR i...
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| Vydáno v: | Sensors (Basel) |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2017
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5677419/ https://ncbi.nlm.nih.gov/pubmed/28994717 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17102295 |
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