Interferometric SAR deformation timeseries: a quality index

Y. Wassie; S. Mohammad Mirmazloumi; O. Monserrat; B. Crippa; R. Palamà; A. Barra; M. Crosetto

doi:10.1117/12.2600142

12 September 2021 Interferometric SAR deformation timeseries: a quality index

Y. Wassie, S. Mohammad Mirmazloumi, O. Monserrat, B. Crippa, R. Palamà, A. Barra, M. Crosetto

Proceedings Volume 11861, Microwave Remote Sensing: Data Processing and Applications; 118610A (2021) https://doi.org/10.1117/12.2600142
Event: SPIE Remote Sensing, 2021, Online Only

Abstract

Estimating unknown absolute phase from a wrapped observation is a challenging and ill-posed problem that possibly leads to misinterpretation of interferometric SAR (InSAR) deformation results. In this study, we introduce a quality index to cluster post-phase unwrapping multi-master InSAR timeseries outputs based on the estimated phase residuals and redundancy of network of interferograms. The index is supposed to indicate the reliability of a timeseries, including the identification of persistent scatterers (PSs) possibly affected by phase unwrapping jumps. The algorithm was tested on two Sentinel-1 interferometric datasets with 622,991 and 95,398 PSs, generated from the PSI processing chain PSIG of the geomatics division of CTTC. Promising result have been achieved-especially in identifying erroneous PSs with phase unwrapping jumps. Along with existing temporal phase consistency checking algorithms, the approach could provide rich information toward a better interpretation of the deformation timeseries results.

Conference Presentation

Citation Download Citation

Y. Wassie, S. Mohammad Mirmazloumi, O. Monserrat, B. Crippa, R. Palamà, A. Barra, and M. Crosetto "Interferometric SAR deformation timeseries: a quality index", Proc. SPIE 11861, Microwave Remote Sensing: Data Processing and Applications, 118610A (12 September 2021); https://doi.org/10.1117/12.2600142

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