Four-component scattering model for polarimetric SAR image decomposition

@article{Yamaguchi2005FourcomponentSM,
  title={Four-component scattering model for polarimetric SAR image decomposition},
  author={Yoshio Yamaguchi and Toshifumi Moriyama and Motoi Ishido and Hiroyoshi Yamada},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2005},
  volume={43},
  pages={1699-1706}
}
A four-component scattering model is proposed to decompose polarimetric synthetic aperture radar (SAR) images. The covariance matrix approach is used to deal with the nonreflection symmetric scattering case. This scheme includes and extends the three-component decomposition method introduced by Freeman and Durden dealing with the reflection symmetry condition that the co-pol and the cross-pol correlations are close to zero. Helix scattering power is added as the fourth component to the three… 

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