Volume 7 Issue 4
Aug.  2018
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Article Navigation >  Journal of Radars  > 2018  >  7(4): 465-474
Jiang Tie-zhen, Xiao Wen-shu, Li Da-sheng, Liao Tong-qing. Feasibility Study on Passive-radar Detection of Space Targets Using Spaceborne Illuminators of Opportunity[J]. Journal of Radars, 2014, 3(6): 711-719. doi: 10.12000/JR14080
Citation: Sun Xiang, Song Hongjun, Wang Robert, Li Ning. POA Correction Method Using High-resolution Full-polarization SAR Image[J]. Journal of Radars, 2018, 7(4): 465-474. doi: 10.12000/JR18026
shu

POA Correction Method Using High-resolution Full-polarization SAR Image

DOI: 10.12000/JR18026
  • ①.

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

  • ②.

    University of Chinese Academy of Sciences, Beijing 100049, China

  • ③.

    Henan University, Kaifeng 475004, China

Funds:  The Key Standard Technologies of National High Resolution Special
  • Received Date: 2018-03-23
  • Rev Recd Date: 2018-07-02
  • Publish Date: 2018-08-28
    Abstract
  • Polarimetric decomposition in urban areas is important for monitoring the speed of city expansion and studying its ecological environmental influence. Using fully Polarimetric Synthetic Aperture Radar (PolSAR) is a method for consistent observation of large-range urban changes. In the last two decades, most research on decomposition methods have stated that Polarization Orientation Angle (POA) would affect the results of decomposition by overestimating the volume scattering contribution of urban areas. The available deorientation methods cannot rotate built-up areas with large POAs. This paper proposes an algorithm for decomposition of high-resolution urban area images based on a POA correction method. First, for high-resolution images of built-up areas, the POA changes radically pixel by pixel. An approximate assessment of urban areas can be accomplished using POA randomness. Then, to search for the true POA of large dominant POA areas (most built-up regions), the linear approximation method is used to locate POAs that can minimize cross-polarized terms. Thereby, the inaccurate decomposition that occurs by the deviation of POA can be fixed, and the accuracy of results improves. The fully PolSAR data of the Dujiangyan area in Sichuan Province, China are used to confirm the algorithm’s effectiveness. The data are acquired by an X-band airborne SAR sensor designed by the Institute of Electronics, China Academy of Sciences (IECAS).

     

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    • References(18)
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