Volume 4 Issue 6
Dec.  2015
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Article Navigation >  Journal of Radars  > 2015  >  4(6): 698-707
Wang Jian-feng, Lin Yun, Guo Sheng-long, Yu Ling-juan, Hong Wen. Circular SAR Optimization Imaging Method of Buildings[J]. Journal of Radars, 2015, 4(6): 698-707. doi: 10.12000/JR15069
Citation: Wang Jian-feng, Lin Yun, Guo Sheng-long, Yu Ling-juan, Hong Wen. Circular SAR Optimization Imaging Method of Buildings[J]. Journal of Radars, 2015, 4(6): 698-707. doi: 10.12000/JR15069
shu

Circular SAR Optimization Imaging Method of Buildings

doi: 10.12000/JR15069
  • 1.

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

  • 2.

    (Science and Technology on Microwave Imaging Laboratory, Beijing 100190, China)

  • 3.

    (University of Chinese Academy of Sciences, Beijing 100190, China)

Funds:

The National Natural Science Foundation of China (61431018, 61201404)

  • Received Date: 2015-06-01
  • Rev Recd Date: 2015-08-04
  • Publish Date: 2015-12-28
    Abstract
  • The Circular Synthetic Aperture Radar (CSAR) can obtain the entire scattering properties of targets because of its great ability of 360 observation. In this study, an optimal orientation of the CSAR imaging algorithm of buildings is proposed by applying a combination of coherent and incoherent processing techniques. FEKO software is used to construct the electromagnetic scattering modes and simulate the radar echo. The FEKO imaging results are compared with the isotropic scattering results. On comparison, the optimal azimuth coherent accumulation angle of CSAR imaging of buildings is obtained. Practically, the scattering directions of buildings are unknown; therefore, we divide the 360 echo of CSAR into many overlapped and few angle echoes corresponding to the sub-aperture and then perform an imaging procedure on each sub-aperture. Sub-aperture imaging results are applied to obtain the all-around image using incoherent fusion techniques. The polarimetry decomposition method is used to decompose the all-around image and further retrieve the edge information of buildings successfully. The proposed method is validated with P-band airborne CSAR data from Sichuan, China.

     

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