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GNSS-R Multi-Period SAR Imaging Experimental Study

Shu Wang,Yunlong Zhu,Dongkai Yang,Shiyu Wu

Published 2020 in IEEE International Geoscience and Remote Sensing Symposium

ABSTRACT

Aiming at the problems of low resolution and poor imaging quality in global satellite system reflectometry based synthetic aperture radar (GNSS-R SAR), this paper proposes a multi-period SAR imaging method with a GPS satellite and a fixed receiver. Coherent fusion will be used in point target simulation. The result achieves the improvement of imaging resolution. In the actual scene experiment, with the larger interval of the data acquisition time, finally, the more abundant image feature information is obtained compared with the traditional bistatic SAR imaging. This method proves the vast potential in realizing local area monitoring by GNSS-R SAR.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    IEEE International Geoscience and Remote Sensing Symposium

  • Publication date

    2020-09-26

  • Fields of study

    Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.1109/IGARSS39084.2020.9323474
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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