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J. J. Van Zyl, M. Arii and Y. Kim, “Model-Based Decomposition of Polarimetric SAR Covariance Matrices Constrained for Nonnegative Eigenvalues,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 9, 2011, pp. 3452-3459. doi:10.1109/TGRS.2011.2128325

has been cited by the following article:

• TITLE: Analysis of a Residual Model for the Decomposition of Polarimetric SAR Data

  AUTHORS: Xiaojing Bai, Binbin He, Xiaowen Li

  KEYWORDS: Freeman-Durden Decomposition; Polarimetric SAR; Residual Model; Negative Scattering Energy

  JOURNAL NAME: Advances in Remote Sensing, Vol.2 No.2, June 11, 2013

  ABSTRACT: Accurate estimation of the double-bounce scattering fd and surface scattering fs coefficients with Freeman-Durden decomposition is still difficult. This difficulty arises because overestimation of the volume scattering energy contribution Pv leads to negative values for fd and fs. A generalized residual model is introduced to estimate fd and fs. The relationship between Pv and the residual model is analyzed. Eigenvalues computed from the residual model must be positive to explain physical scattering mechanisms. The authors employ a new volumetric scattering model to minimize Pv as calculated by several decomposition methods. It is concluded that decreasing Pv can help reduce negative energy. This conclusion is validated using actual polarimetric SAR data.