A Data-Adaptive Eof Based Method for Displacement Signal Extraction from Interferogram Time Series

In this paper, a data-adaptive method, namely Principal Modes (PM) method, based on the spatially averaged temporal covariance of a time series is proposed to extract the displacement signal from a time series of Sentinel 1 A/B inter-ferograms over the Gorner glacier during the period between Octobe...

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Bibliographic Details
Main Authors: Prebet, R., Yan, Y., Jauvin, M., Trouve, E.
Format: Conference Proceeding
Language:English
Subjects:
Covariance matrices
Displacement measurement
Image reconstruction
Interferometry
Mathematical model
Noise measurement
Time series analysis
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Summary:In this paper, a data-adaptive method, namely Principal Modes (PM) method, based on the spatially averaged temporal covariance of a time series is proposed to extract the displacement signal from a time series of Sentinel 1 A/B inter-ferograms over the Gorner glacier during the period between October 2016 and April 2017. On unwrapped interferogram time series, the PM method provides a satisfactory separation of the displacement signal from the spatially correlated perturbations, while on wrapped interferogram time series, the PM method can highlight fringe patterns where they are more or less significantly hindered by the decorrelation noise.
ISSN:2153-7003
DOI:10.1109/IGARSS.2018.8518382