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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Detalles Bibliográficos
Autores principales: Zhang, Shuanghui, Liu, Yongxiang, Li, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677419/
https://www.ncbi.nlm.nih.gov/pubmed/28994717
http://dx.doi.org/10.3390/s17102295

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677419/
https://www.ncbi.nlm.nih.gov/pubmed/28994717
http://dx.doi.org/10.3390/s17102295

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