Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations

Surface deformation data can be used to provide early warnings of geohazards and are useful in a variety research fields. The Small BAseline Subset InSAR (SBAS-InSAR) boosts the sampling rate improves accuracy extraction by restricting temporal spatial baselines. However, various factors, such as types ground objects seasons, affect coherence between SAR images. Traditional SBAS-InSAR employs fixed baseline, which does not guarantee good might lead decorrelation. In this paper, we propose that instead using directly use average images baseline constraint index perform an optimized selection interferometric pairs, ensuring pairs improving quality fringes. proposed approach was extract surface two test experiment areas: Houston Sydney. Compared with conventional GPS data, standard deviation error Sydney dropped from 0.813 0.589 0.291 0.246, respectively; root mean square (RMSE) decreased 1.082 1.041 0.485 0.334, respectively, indicating method has better accuracy. After demonstrating method, it applied Pingxiang area, mining city China, effectively analyze induced activities, proves universality different scenarios.