InSAR Deformation Datum Connection with A Fixed Line-of-Sight Direction: A Bayesian inference and the Markov Random Field (MRF) model integration

To address the challenge of inconsistent line-of-sight (LOS) deformation datum derived from interferometric measurements of different Synthetic Aperture Radar (SAR) images—and the significant variation in LOS direction between near-range and far-range within the same image—this contribution proposes an InSAR deformation datum  connection method with a fixed LOS direction. The method combines Bayesian inference and the Markov Random Field (MRF) model, integrating InSAR and GNSS deformation data to achieve unified deformation datum for adjacent and even different-orbit SAR interferometric results.

A simulation experiments, using Sentinel-1 imaging parameters and GNSS velocity field data, and a real-world validation with InSAR data of the 2023 Southern Turkey earthquake are conducted. In the simulation, the root-mean-square error  of LOS displacement rate difference in the overlapping regions of adjacent-track SAR images decreased 99%. In the real-world experiment, the root-mean-square error of displacement difference reduced from 20 mm to 8 mm, demonstrating the effectiveness of the proposed method.

We have three key contributions：(1) Unified Deformation datum: Successfully realize an InSAR deformation datum connection with fixed LOS direction in SAR images; (2) Adjacent-Track Stitching: Achieve seamless stitching of adjacent-track SAR deformation results from a single data source; (3) Real-Data Validation: Reduce the mean displacement difference in overlapping regions of adjacent-track SAR images of the 2023 Southern Turkey earthquake from 20 mm to 8 mm.