On the Stochastic Model for InSAR Single Arc Point Scatterer Time Series

Conference paper (2023)

Authors

W.S. Brouwer Mathematical Geodesy and Positioning - CEG
Y. Wang Mathematical Geodesy and Positioning - CEG
F.J. van Leijen Mathematical Geodesy and Positioning - CEG
R.F. Hanssen Mathematical Geodesy and Positioning - CEG
Research Group
Mathematical Geodesy and Positioning (CEG) (TU Delft)
Copyright: © 2023 W.S. Brouwer, Y. Wang, F.J. van Leijen, R.F. Hanssen
DOI: https://doi.org/10.1109/IGARSS52108.2023.10282629
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Published Date

2023

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Mathematical Geodesy and Positioning

Abstract

InSAR enables the estimation of displacements of (objects on) the earth's surface. To provide reliable estimates, both a stochastic and mathematical model are required. However, the intrinsic problem of InSAR is that both are unknown. Here we derive the Variance-Covariance Matrix (VCM) for double differenced phase observations for an arc, i.e., the phase difference between two points relative to a reference epoch. Using the Normalized Amplitude Dispersion we subdivide the time series in multiple partitions. The method results in a more realistic stochastic model, and consequently more realistic and reliable displacement parameters. The stochastic model also allows to make statements on the precision and reliability of the estimated parameters.

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