Volume 4 Issue 6
Dec.  2015
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Article Navigation >  Journal of Radars  > 2015  >  4(6): 708-714
Guo Xiao-yang, Li Yang, Lin Yun, Guo Sheng-long, Hong Wen. Statistical Models of Speckle for Circular SAR Imaging[J]. Journal of Radars, 2015, 4(6): 708-714. doi: 10.12000/JR15039
Citation: Guo Xiao-yang, Li Yang, Lin Yun, Guo Sheng-long, Hong Wen. Statistical Models of Speckle for Circular SAR Imaging[J]. Journal of Radars, 2015, 4(6): 708-714. doi: 10.12000/JR15039
shu

Statistical Models of Speckle for Circular SAR Imaging

DOI: 10.12000/JR15039
  • 1.

    (The 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 100049, China)

Funds:

The National Natural Science Foundation of China (61431018)

  • Received Date: 2015-04-03
  • Rev Recd Date: 2015-06-08
  • Publish Date: 2015-12-28
    Abstract
  • Circular Synthetic Aperture Radar (CSAR) is a recently developed all-directional high-resolution imaging mode, which is efficient in dealing with the target recognition, area monitoring, and three-dimensional reconstruction because of the acquisition of 360 data in a single pass. To obtain the entire 360 image using information from all subapertures, the following methods are used: (1) the coherent addition method, (2) the incoherent addition method, and (3) the maximum-intensity methods. In this study, different statistical models of speckle in CSAR images are proposed and the speckle reduction of each model is discussed. Experiments show that the incoherent addition and maximum-intensity methods reduce speckle, whereas the coherent addition method does not.

     

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