Publication:
Synthetic Aperture Imaging of Direction- and Frequency-Dependent Reflectivities

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URI: https://hdl.handle.net/10016/32243
ISSN: 1936-4954
DOI: https://doi.org/10.1137/15M1036063
UXXI: AR/0000017952
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synthetic_SJIS_opt_2016_ps.pdf (1.2 MB)
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2016-01-01
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Society for Industrial and Applied Mathematics
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Abstract
We introduce a synthetic aperture imaging framework that takes into consideration directional dependence of the reflectivity that is to be imaged, as well as its frequency dependence. We use an l(1) minimization approach that is coordinated with data segmentation so as to fuse information from multiple subapertures and frequency subbands. We analyze this approach from first principles and assess its performance with numerical simulations in an X-band radar regime.
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Synthetic aperture imaging, Reflectivity, Minimal support optimizations, Simultaneous sparse approximation, Multiple-measurement vectors, Convex relaxation, Optimization, Algorithms
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Borcea, L., Moscoso, M., Papanicolaou, G. and Tsogka, C. (2016). Synthetic Aperture Imaging of Direction- and Frequency-Dependent Reflectivities. SIAM J. Imaging Sci., 9(1), 52–81
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