Model-based target decomposition with the π/4 mode compact polarimetry data



In this paper, model-based (surface, dihedral and volume scattering) target decomposition technique is proposed to decompose the π/4 mode compact polarimetric radar data. A general relationship between fully polarimetric coherence matrix and the Stokes vector of the π/4 mode compact polarimetric data is first established. Based on the Stokes vector, a proposed algorithm to retrieve the power of three scattering mechanisms is given in details. We validate this algorithm with L-band AIRSAR, San Francisco Bay, and results of decomposition are discussed and assessed in detail by being compared with the quad-pol Freeman-Durden decomposition results. Finally, the π/4 mode decomposition is compared with the CTLR (circular transmitting and linear reeving) mode, and with the π/4 mode mδ targets decomposition. The comparison results are analyzed and discussed in detail.


本文中,将基于模型的目标分解方法应用到 π/4 模式简缩极化数据中。首先推导出全极化相干矩阵与π/4 模式简缩极化斯托克斯矢量之间一般关系表达式。获得体散射和秩为1的单一散射机制的简缩极化斯托克斯矢量表达式,建立RVoG模型的斯托克斯矢量形式。基于该RVoG矢量形式推导出详细的目标分解方法。运用L波段AirSAR 旧金山数据验证该目标分解方法,并且与全极化目标分解结果进行对比分析。最后,对比分析π/4 模式与CTLR模式分解结果,以及π/4 模式下基于模型的目标分解方法与传统m-δ 分解对比结果。

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  1. 1

    Chen L. Investigation on models and methods of compact polarimetric SAR information processing. Dissertation for Ph.D. Degree. Beijing: Institute of Electronics, Chinese Academy of Sciences, 2013. 2–3

    Google Scholar 

  2. 2

    Souyris J C, Imbo P, Fjortoft R, et al. Compact polarimetry based on symmetry properties of geophysical media: the π/4 mode. IEEE Trans Geosci Rem Sens, 2005, 43: 634–646

    Article  Google Scholar 

  3. 3

    Raney R. Hybrid-polarity sar architecture. IEEE Trans Geosci Rem Sens, 2007, 45: 3397–3404

    Article  Google Scholar 

  4. 4

    Collins M J, Denbina M, Atteia G. On the reconstruction of quad-pol SAR data from compact polarimetry data for ocean target detection. IEEE Trans Geosci Rem Sens, 2013, 51: 591–600

    Article  Google Scholar 

  5. 5

    Nord M, Ainsworth T, Lee J S, et al. Comparison of compact polarimetric synthetic aperture radar modes. IEEE Trans Geosci Rem Sens, 2009, 47: 174–188

    Article  Google Scholar 

  6. 6

    Li H Y, Perrie W, He Y J, et al. Target detection on the ocean with the relative phase of compact polarimetry SAR. IEEE Trans Geosci Rem Sens, 2013, 51: 3299–3305

    Article  Google Scholar 

  7. 7

    Charbonneau F J, Brisco B, Raney R K, et al. Compact polarimetry overview and applications assessment. Can J Rem Sens, 2010, 36, 298–315

    Article  Google Scholar 

  8. 8

    Ballester-Berman J D, Lopez-Sanchez J M. Analysis on the potential of L-band polsar data for crop monitoring. In: Proceedings of ESA Internal Workshop on POLInSAR, Frascati, 2011

    Google Scholar 

  9. 9

    Lee J S, Poitter E. Polarimetric Radar Imaging: From Basics to Applications. Boca Raton: CRC Press, Taylor & Francis Group, 2009. 49–51

    Book  Google Scholar 

  10. 10

    Raney R. Dual-polarized sar and stokes parameters. IEEE Trans Geosci Rem Sens, 2006, 3: 317–319

    Article  Google Scholar 

  11. 11

    Freeman A, Durden S. A three-component scattering model for polarimetric sar data. IEEE Trans Geosci Rem Sens, 1998, 36: 963–973

    Article  Google Scholar 

  12. 12

    Cloude S, Pottier E. A review of target decomposition theorems in radar polarimetry. IEEE Trans Geosci Rem Sens, 1996, 34: 498–518

    Article  Google Scholar 

  13. 13

    Liu T, Huang G M, Wang X S, et al. Statistical assessment of H/A target decomposition theorems in radar polarimetry. Sci China Inf Sci, 2010, 53: 355–366

    MathSciNet  Article  Google Scholar 

  14. 14

    Cloude S. Polarisation: Applications in Remote Sensing. London: Oxford Univ Press, 2009. 142–158

    Book  Google Scholar 

  15. 15

    Cloude S, Goodenough D, Chen H. Compact decomposition theory. IEEE Geosci Rem Sens Lett, 2012, 9: 28–32

    Article  Google Scholar 

  16. 16

    López-Martinez C, Alonso-González A. Assessment and estimation of the RVoG model in polarimetric SAR interferometry. IEEE Trans Geosci Rem Sens, 2014, 52: 3091–3106

    Article  Google Scholar 

  17. 17

    Huynen J R. Stokes matrix parameters and their interpretation in terms of physical target properties. In: Proceedings of International Society for Optics and Photonics, Orlando, 1990. 195–207

    Google Scholar 

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Correspondence to Wen Hong.

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Guo, S., Li, Y., Hong, W. et al. Model-based target decomposition with the π/4 mode compact polarimetry data. Sci. China Inf. Sci. 59, 062307 (2016).

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  • π/4 mode compact polarimetry
  • mode-based target decomposition
  • Stokes vector
  • RVoG model
  • radar polarimetry


  • π/4 模式简缩极化
  • 基于模型的目标分解
  • 斯托克矢量
  • RVoG模型l
  • 雷达极化