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YANG Jie, CHANG Yonglei, LI Pingxiang, ZHAO Lingli, SHI Lei. Distributed Targets Extraction for SAR Polarimetric Calibration Using Helix Scattering[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2023-2029. DOI: 10.13203/j.whugis20180180
Citation: YANG Jie, CHANG Yonglei, LI Pingxiang, ZHAO Lingli, SHI Lei. Distributed Targets Extraction for SAR Polarimetric Calibration Using Helix Scattering[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2023-2029. DOI: 10.13203/j.whugis20180180
shu

Distributed Targets Extraction for SAR Polarimetric Calibration Using Helix Scattering

  • 1.

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

  • 2.

    School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Funds: 

The National Natural Science Foundation of China 41771377

The National Natural Science Foundation of China 41501382

The National Natural Science Foundation of China 41601355

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  • Author Bio:

    YANG Jie, PhD, professor, specializes in PolSAR image processing, including soil water content inversion, polarization calibration, forest tree high inversion, et al. E-mail:yangj@whu.edu.cn

  • Corresponding author:

    CHANG Yonglei, PhD candidate. E-mail:changyonglei@whu.edu.cn

  • Received Date: May 14, 2018
  • Published Date: December 04, 2018
    Graphical Abstract
    • Abstract
  • Polarimetric SAR technology is widely used in remote sensing and earth observation. Before any quantitative research or application are carried out, polarimetric calibration must be applied on the acquired images. The current polarimetric calibration schemes generally use distributed targets to solve crosstalk and cross-polarization channel imbalance errors. Therefore, it is necessary to extract the distributed targets that satisfy certain scattering characteristics before calibration. In this paper, we propose an automatic method of reference samples extraction for polarimetric calibration, by exploiting the polarization and distribution characteristics of helix scattering. According to the polarization target decomposition, we constructe a helix scattering ratio feature, and adaptive threshold segmentation method is also used to extract the reference samples automatically. A C-band airborne polarimetric SAR image from the Institute of Electronics, Chinese Academy of Sciences is tested. The results show that this method can maintain the correctness of polarimetric calibration, and can improve the calibration accuracy comparing with the algorithms based on polarimetric correlation coefficient or scattering power.
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    • References (26)
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