Abstract:

An improved joint subspace projection method is proposed for synthetic aperture radar interfero metry (InSAR) phase estimation. Benefiting from the new formulation of joint data vector, the noise subspace dimension of the corresponding covariance matrix with the coregistration error μ(0＜μ＜l) pixel is the same as that of the covariance matrix with accurate coregistration. The joint subspace projection technique is used, which enable it to have the function of automatic registration synthetic aperture radar image and to reduce the phase noise simultaneously. Meanwhile data processing of measured data and simulation results verify the effectiveness of the method.