Sequential DS-ISBAS InSAR Deformation Parameter Dynamic Estimation and Quality Evaluation

Today, synthetic aperture radar (SAR) satellites provide large amounts of SAR data at unprecedented temporal resolutions, which promotes hazard dynamic monitoring and disaster mitigation with interferometric (InSAR) technology. This study focuses on big InSAR dynamical processing in areas serious decorrelation gradient deformation. A new stepwise phase optimization method is proposed to alleviate the decorrelation, customized for deformation parameter estimation. Subsequently, sequential estimation theory introduced intermittent small baseline subset (ISBAS) approach dynamically obtain time series dense coherent targets. Then, we analyze reason unstable accuracy parameters using distributed scatterers-ISBAS technology, construct five indices describe quality pixel-by-pixel. Finally, real post-failure Baige landslide Jinsha River China used demonstrate validity approach.