Four-component scattering model for polarimetric SAR image decomposition

Niigata University · National Institute of Information and Communications Technology

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Abstract

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-component scattering model which describes surface, double bounce, and volume scattering. This helix scattering term is added to take account of the co-pol and the cross-pol correlations which generally appear in complex…

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1,340
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FWCI
330.81
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100%
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Authors

4

Topics & keywords

Keywords
  • Scattering
  • Synthetic aperture radar
  • Covariance
  • Physics
  • Covariance matrix
  • Mathematics
  • Computational physics
  • Remote sensing
UN Sustainable Development Goals
  • Sustainable cities and communities
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