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2012 8th IEEE International Symposium on Instrumentation and Control Technology (ISICT) Proceedings 2012
DOI: 10.1109/isict.2012.6291647
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Three-aperture inverse synthetic aperture radar moving targets imaging processing based on compressive sensing

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Cited by 4 publications
(2 citation statements)
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“…The scene is naturally sparse in the third dimension. The application of CS to ISAR imaging (Li et al 2012) is promising, especially since the number of pixels can be limited and the objects often show sparse reflections.…”
Section: Prior Art and Inspirationsmentioning
confidence: 99%
“…The scene is naturally sparse in the third dimension. The application of CS to ISAR imaging (Li et al 2012) is promising, especially since the number of pixels can be limited and the objects often show sparse reflections.…”
Section: Prior Art and Inspirationsmentioning
confidence: 99%
“…To restore the image, the CS‐based method does not reconstruct the image directly, but reconstruct the frequency spectrum of the image first and then the image [15]. The spectrum can be reconstructed by solving the optimisation problem as followstruemin σ bold-italicR N σ 1 , 1ems . t . thinmathspacethinmathspacebold-italicy boldΨσ 2 ε where ε denotes the noise level in measured data and is determined by the noise energy.…”
Section: Interferometric Isar Image Compressionmentioning
confidence: 99%