Estimation Method for Pol-InSAR Multi-Interferometric Phase Based on the MUSIC Method

In this paper we propose a method to estimate the Pol-InSAR multi-interferometric phase based on the MUSIC method. In the method we construct the optimum weighted vector with the Wiener filter which takes advantage of the coherence of neighboring pixel pairs. The method employs the orthogonality of the joint subspace onto the corresponding joint noise subspace by Eigen-decomposition to construct the space spectral function. Therefore, it can accurately estimate the interferometric phase in the corresponding pixels of the multi-polarimetric channels. And it can adaptively coregister the SAR images. The effectiveness of the method is tested using real data.