An Approch for Enhancing Time-Series InSAR with Multi-Polarization Data

Current multi-polarization Time-Series Interferometric Synthetic Aperture Radar (TS-InSAR) approaches conduct polarimetric optimization during the coherent scatterer selection and interferogram generation stages. However, these techniques often encounter limitations when dealing with certain types of targets, particularly when the target scattering phase center positions differ across polarizations. Consequently, the temporal coherence of the optimized interferometric phase can sometimes be worse than that of the classical single-polarization technique. This work aims to enhance these techniques by fine-tuning the TS-InSAR workflow and selecting the most suitable observation from various polarization channels based on temporal coherence. Experimental results show that the proposed method increases the number of persistent scatterers and offers more reliable deformation monitoring than both single-polarization and existing multi-polarized methods.