Adaptive Decomposition of Polarimetric Sar Covariance Matrices

  title={Adaptive Decomposition of Polarimetric Sar Covariance Matrices},
  author={Jakob J. van Zyl and Yunjin Kim},
One of the most complex problems in polarimetric radar imaging is how to interpret the measured covariance matrix in terms of known scattering mechanisms. Two main approaches are commonly used for this purpose. The first, introduced by Cloude [1] involves calculating the eigenvectors of the measured covariance matrix. This method provides a unique result. However, as shown by van Zyl [2], when these results are interpreted in terms of scattering mechanisms, some approximations have to be made. 

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Uniqueness of target decomposition theorems in radar polarimetry

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Highly Influential
4 Excerpts

Application of Cloude’s target decomposition theorem to polarimetric imaging radar data

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