This paper presents a phase unwrapping algorithm based on the unscented particle filter (UPF) for synthetic-aperture radar (SAR) interferometry.This method provides independence from noise statistics and is not constrained by the nonlinearity of the problem.This technique performs simultaneously noise filtering and phase unwrapping by the optimal data fusion approach.In addition

the importance density function is integrated with the latest observation information and is more in line with the posterior probability distribution of true phase by using an unscented Kalman filter (UKF) to carry out particle update

which also enhances the accuracy and the efficiency of the proposed method.Simulation and real data processing results validate the effectiveness of proposed method

and show a significant improvement with respect to the EKFPU algorithm and other conventional unwrapping algorithms in some situations.