Deformation monitoring using time-series InSAR with dual-polarization optimization
XUAN Jiabin1(), LI Ruren1, FU Wenxue2,3()
1. School of Transportation and Geomatics Engineering, Shenyang Jianzhu University, Shenyang 110168, China 2. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China 3. International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
The spatial density and interferometric phase quality of high-quality monitoring points serve as key indicators for deformation monitoring using the time-series interferometric synthetic aperture radar (InSAR) technique. To further enhance the deformation monitoring ability of the InSAR technique for non-urban areas, this study proposed a polarization time-series InSAR method that takes into account distributed scatterers (DSs) using dual-polarization images from Sentinel-1. Specifically, polarization processing of the intensity and phase information of time-series SAR data was conducted using various methods based on the characteristics of DSs and taking the dispersion of amplitude (DA) as an indicator for the phase quality assessment. Then, surface deformation monitoring was performed using the data before and after optimization. This study carried out experiments on Ningbo City in Zhejiang Province using 40 scenes of dual-polarization (VV-VH) images from Sentinel-1. The results indicate that the proposed method can significantly increase the density of monitoring points and the interferometric phase quality. Compared to single polarization, the proposed method increased the quantities of persistent scatterers (PSs) and DSs by about 20% and 57.5%, respectively. Furthermore, the interferometric phase quality was also significantly improved, with the average coherence increasing by more than 15%. The proposed method allows for a more detailed reflection of regional deformations.
玄甲斌, 李如仁, 傅文学. 双极化优化的时序InSAR形变监测研究[J]. 自然资源遥感, 2025, 37(6): 128-137.
XUAN Jiabin, LI Ruren, FU Wenxue. Deformation monitoring using time-series InSAR with dual-polarization optimization. Remote Sensing for Natural Resources, 2025, 37(6): 128-137.
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2025, Vol. 37 
), 李如仁1, 傅文学2,3(
