HIGHLIGHTS
- who: Firstname Lastname and collaborators from the University of Chinese Academy of Sciences, Beijing, China have published the research: Sparse SAR Imaging and Quantitative Evaluation Based on Nonconvex and TV Regularization, in the Journal: (JOURNAL)
- what: 14 of 17 Finally, the authors design a set of simulation experiments to verify the reconstruction performance of the proposed method under different downsampling ratios.
- how: The 1dimension (1-D) and 2-dimension (2-D) L1 regularization-based SAR imaging models were proposed. In this paper the minimax concave (MC) penalty is used as the representative of . . .
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