Recursive and robust InSAR Phase Estimation

Abstract:
This paper introduces a novel scheme to recursively estimate interferometric phases from a stack of synthetic aperture radar (SAR) images. The adoption of a calibration step ensure some robustness to the buildup of phase drifts. The scheme is shown to yield comparable performance to full-covariance algorithms for a realistic decorrelation scenario. The implementation is suited for continuous processing and updating of phase products, without compromising longterm phase accuracy. It also limits the requirements in terms of data transfer between archiving and processing facility, a significant issue for processing large archives of SAR data.