InSAR Phase Filtering via Joint Subspace Projection Method: Application in Change Detection

Abstract

A new approach is presented to estimate the synthetic aperture radar (SAR) interferometric phase via the joint subspace projection. In this letter, a new formulation is proposed to transform the cost function minimization problem into the problem of finding the roots of a second-order polynomial whose coefficients are evaluated via the joint noise subspace. The proposed method enjoys a substantially reduced computational complexity and improves the estimation of the interferometric phase. Results obtained using real SAR data show the effectiveness of the proposed method. In the change detection application, the method offers much better separation between the changed and unchanged coherence pixels than existing filters.