Sparse Aperture InISAR Imaging via Sequential Multiple Sparse Bayesian Learning
نویسندگان
چکیده
منابع مشابه
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 imaging method, which jointly reconstructs 2-dimensional (2-D) ISAR images from different channels...
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Biography Dr. Dan Cornford is a lecture in Computer Science and works in the Neural Computing Research Group at Aston University. Research interests are in the field of spatial statistics, space-time modelling and data assimilation. Lehel Csato is a post-doc in the same group working on an EPSRC grant (GR/R61857/01) looking at applying sparse sequential Gaussian processes to data assimilation. ...
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ژورنال
عنوان ژورنال: Sensors
سال: 2017
ISSN: 1424-8220
DOI: 10.3390/s17102295