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Foundation of Super-Resolution Microwave Imaging

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High-Resolution Microwave Imaging

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Abstract

Super-resolution imaging algorithms use high-resolution spectrum estimation method, effective spectrum extrapolation method, adaptive weighted method, or inverse problem-solving method to process microwave imaging radar data. These kinds of algorithms can break through the performance limitations of Fourier imaging method to improve image resolution further without increasing the signal bandwidth and the length of the synthetic aperture.

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Author information

Authors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Ruliang Yang

  2. Chinese Academy of Sciences, Beijing, China

    Haiying Li

  3. Chinese Academy of Sciences, Beijing, China

    Shiqiang Li

  4. Chinese Academy of Sciences, Beijing, China

    Ping Zhang

  5. East China Research Institute of Electronic Engineering (ECRIEE), Chinese Academy of Sciences, Beijing, China

    Lulu Tan

  6. China Academy of Launch Vehicle Technology, Beijing, China

    Xiangwu Gao

  7. Chinese Academy of Sciences, Beijing, China

    Xueyan Kang

Authors
  1. Ruliang Yang
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  2. Haiying Li
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  3. Shiqiang Li
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  4. Ping Zhang
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  5. Lulu Tan
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  6. Xiangwu Gao
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  7. Xueyan Kang
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© 2018 National Defense Industry Press, Beijing and Springer Nature Singapore Pte Ltd

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Yang, R. et al. (2018). Foundation of Super-Resolution Microwave Imaging. In: High-Resolution Microwave Imaging. Springer, Singapore. https://doi.org/10.1007/978-981-10-7138-6_14

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  • DOI: https://doi.org/10.1007/978-981-10-7138-6_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7136-2

  • Online ISBN: 978-981-10-7138-6

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