Phase Filtering Method Based on Fringe Phase Compensation Using Multi-Frequency Data

In this paper, a novel non-local filtering method based on fringe compensation using multi-frequency data is proposed. Firstly, the low-frequency phase is unwrapped and converted to reference frequency according to the frequency ratio to estimate the basic phase of the fundamental terrain, then the basic phase is removed from the high-frequency noisy phase, and non-local filtering is performed on the residual phase. Finally, the filtered phase is obtained by compensating the removed basic phase. Simulation and real data experiments are carried out to verify the effectiveness of the proposed method.