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Yong Fan, Zheng-Ou Zhou, Jia-Li Xu, Jin-Shan Lin. Fast SAR Imaging Algorithm for FLGPR[J]. Journal of Electronic Science and Technology, 2007, 5(3): 252-254.
Citation: Yong Fan, Zheng-Ou Zhou, Jia-Li Xu, Jin-Shan Lin. Fast SAR Imaging Algorithm for FLGPR[J]. Journal of Electronic Science and Technology, 2007, 5(3): 252-254.
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Fast SAR Imaging Algorithm for FLGPR

  • 1.

    School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu,610054,China;

  • 2.

    Department of Electronic and Information Engineering,Chengdu University,Chengdu,610106,China;

  • 3.

    Department of Electronic and Information Engineering,Putian University,Putian,351100,Fujian,China

Funds: 

This work was supported by the National Nature Science Foundation of China under Grant No. 60472014.

More Information
  • Author Bio:

    Yong Fan research interests include subsurface object detection and image processing in remote sensing, fanyong704@163.com;
    Zheng-Ou Zhou, zzo@uestc.edu.cn;
    Jia-Li Xu, xujl@163.com;
    Jin-Shan Lin, linjs@163.com

    Yong Fan research interests include subsurface object detection and image processing in remote sensing, fanyong704@163.com;
    Zheng-Ou Zhou, zzo@uestc.edu.cn;
    Jia-Li Xu, xujl@163.com;
    Jin-Shan Lin, linjs@163.com

    Yong Fan research interests include subsurface object detection and image processing in remote sensing, fanyong704@163.com;
    Zheng-Ou Zhou, zzo@uestc.edu.cn;
    Jia-Li Xu, xujl@163.com;
    Jin-Shan Lin, linjs@163.com

    Yong Fan research interests include subsurface object detection and image processing in remote sensing, fanyong704@163.com;
    Zheng-Ou Zhou, zzo@uestc.edu.cn;
    Jia-Li Xu, xujl@163.com;
    Jin-Shan Lin, linjs@163.com

  • Received Date: 2007-05-21
  • Rev Recd Date: 2007-06-13
  • Publish Date: 2007-09-24
    Abstract
  • A fast SAR imaging algorithm for near-field subsurface forward-looking ground penetrating radar (FLGPR) is presented. By using nonstationary convolution filter, the refocused image spectrum can be reconstructed directly from the backscattered signal spectrum of target area. The experimental results show the proposed method can fast achieve image refocusing. Also it has higher computational efficiency than the phase-shift migration approach and the delay-and-sum (DAS) approach.
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