InSAR interferometric phase estimation based on correlation weight subspace projection

In this paper we propose a method to estimate the InSAR interferometric phase using the correlation weight subspace projection technique. In the method the correlation weight data vector is constructed, thus the noise subspace dimension of the corresponding covariance matrix will not be affected by the coregistration error, then avoiding the trouble of calculating the noise subspace dimension before estimating the InSAR interferometric phase. The method can auto-coregister the SAR images and reduce the interferometric phase noise simultaneously. The effectiveness of the method is verified via simulated data.