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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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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | 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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