
handle: 11568/773128
This paper aims at giving an overall view of the use of Compressive Sensing (CS) for some applications of Inverse Synthetic Aperture Radar (ISAR) imaging, especially for those where conventional Fourier based approaches typically fail. A number of case studies have been investigated in this paper and CS algorithm’s performances have been numerically evaluated via the definition of image contrast.
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