Reconstruction , autofocusing , moving targets , and compressed sensing ] Sparsity - Driven Synthetic Aperture Radar Imaging

نویسندگان

  • Ivana Stojanović
  • N. Özben Önhon
  • Kush R. Varshney
  • Sadegh Samadi
چکیده

Date of publication: 13 June 2014 T his article presents a survey of recent research on sparsity-driven synthetic aperture radar (SAR) imaging. In particular, it reviews 1) the analysis and synthesis-based sparse signal representation formulations for SAR image formation together with the associated imaging results, 2) sparsity-based methods for wide-angle SAR imaging and anisotropy characterization, 3) sparsity-based methods for joint imaging and autofocusing from data with phase errors, 4) techniques for exploiting sparsity for SAR imaging of scenes containing moving objects, and 5) recent work on compressed sensing (CS)-based analysis and design of SAR sensing missions.

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تاریخ انتشار 2014