Polarimetric and interferometric noise modelling

In this paper, a noise model for the extended six dimensions covariance matrix used in polarimetric synthetic aperture radar (SAR) interferometry is proposed. This noise model is able to interpret interferometric, as well as polarimetric noise characteristics for the diagonal and non-diagonal elements of the covariance matrix.

[1]  Konstantinos P. Papathanassiou,et al.  Polarimetric SAR interferometry , 1998, IEEE Trans. Geosci. Remote. Sens..

[2]  Jong-Sen Lee,et al.  Polarimetric SAR speckle filtering and its implication for classification , 1999, IEEE Trans. Geosci. Remote. Sens..

[3]  Konstantinos Papathanassiou,et al.  A new technique for noise filtering of SAR interferometric phase images , 1998, IEEE Trans. Geosci. Remote. Sens..

[4]  Eric Pottier,et al.  A review of target decomposition theorems in radar polarimetry , 1996, IEEE Trans. Geosci. Remote. Sens..

[5]  N. R. Goodman Statistical analysis based on a certain multivariate complex Gaussian distribution , 1963 .

[6]  Carlos López-Martínez,et al.  Modeling and reduction of SAR interferometric phase noise in the wavelet domain , 2002, IEEE Trans. Geosci. Remote. Sens..

[7]  S. Quegan,et al.  Understanding Synthetic Aperture Radar Images , 1998 .

[8]  J.S. Lee,et al.  Polarimetric SAR speckle filtering and its impact on classification , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.