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An improved iterative thresholding algorithm for L_(1)-norm regularization based sparse SAR imaging

         

摘要

Dear editor,Sparse signal processing techniques have been widely used after being introduced to synthetic aperture radar(SAR)imaging,and have shown desirable potential in imaging performance improvement compared with traditional matched filtering(MF)based methods[1,2].

著录项

  • 来源
    《中国科学 》 |2020年第11期|P.288-290|共3页
  • 作者单位

    College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing 211106 ChinaKey Laboratory of Radar Imaging and Microwave Photonics Ministry of Education Nanjing University of Aeronautics and Astronautics Nanjing 211106 China;

    College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing 211106 ChinaKey Laboratory of Radar Imaging and Microwave Photonics Ministry of Education Nanjing University of Aeronautics and Astronautics Nanjing 211106 China;

    College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing 211106 ChinaKey Laboratory of Radar Imaging and Microwave Photonics Ministry of Education Nanjing University of Aeronautics and Astronautics Nanjing 211106 China;

    School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore;

    Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China;

    Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China;

    Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 数据、图像处理及录取 ;
  • 关键词

    iterative; filtering; matched;

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