Comparative analysis of temporal coherence optimization approaches for polarimetric time-series InSAR with dual polarization Sentinel-1 data

Jianfei Wang; Alex Hayman Ng; Hengwei Huang; Peipei Zhou; Weilin Tang; Hua Wang

doi:10.1117/12.3057794

28 January 2025 Comparative analysis of temporal coherence optimization approaches for polarimetric time-series InSAR with dual polarization Sentinel-1 data

Jianfei Wang, Alex Hayman Ng, Hengwei Huang, Peipei Zhou, Weilin Tang, Hua Wang

Author Affiliations +

Proceedings Volume 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024); 135061Q (2025) https://doi.org/10.1117/12.3057794
Event: Sixth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2024), 2024, Qingdao, China

Abstract

Polarization Time-Series InSAR (Pol-TS-InSAR) method is an effective strategy for enhancing both the quantity and reliability of persistent scatterer (PS) pixels. However, existing researches have not fully exploited the phase information from different polarization channels nor considered the scattering mechanisms of pixels during the later stages of Pol-TSInSAR process. This study, investigates three kernels for deriving model parameter using multi-polarization data during the model parameter estimation stage during time-series InSAR analysis, namely the Temporal Coherence Optimization approach (TCO), peak temporal coherence approach (PEAK), and weight average approach (WS-MPMP). Experiment were conducted experiments using 45 sets of Sentinel-1A VV and VH polarization data to analyze the deformation of Jieyang Chaoshan International Airport. The performance of the three kernels was evaluated based on reliability, number of measurement points obtained, and computational efficiency. The experimental results indicate that the TCO method achieves marginally better performance in increasing the number of pixels and enhancing accuracy, but exhibits significantly lower computational efficiency compared to the PEAK and WS-MPMP methods.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jianfei Wang, Alex Hayman Ng, Hengwei Huang, Peipei Zhou, Weilin Tang, and Hua Wang "Comparative analysis of temporal coherence optimization approaches for polarimetric time-series InSAR with dual polarization Sentinel-1 data", Proc. SPIE 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), 135061Q (28 January 2025); https://doi.org/10.1117/12.3057794

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