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. (118610A)

Interferometric SAR deformation timeseries: a quality index / Y. Wassie, S.M. Mirmazloumi, O. Monserrat, B. Crippa, R. Palamà, A. Barra, M. Crosetto (PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING). - In: Microwave Remote Sensing: Data Processing and Applications / [a cura di] F. Bovenga, C. Notarnicola, N. Pierdicca, E. Santi. - [s.l] : SPIE The international society for optics and photonics, 2021. - pp. 118610A-1-118610A-9 (( convegno Proceedings Event: SPIE (Online Only) : 13th - 18th September nel 2021 [10.1117/12.2600142].

Interferometric SAR deformation timeseries: a quality index

B. Crippa;
2021

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. (118610A)
Settore ICAR/06 - Topografia e Cartografia
SPIE International Society for optics and photonics
http://dx.doi.org/10.1117/12.2600142
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/873923
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