… have independent footprints in space and/or time. We show the capabilities of a variational
Bayesian independent component analysis (vbICA) algorithm in dealing with synthetic …

… the analysis of ground displacement time series, as those measured by modern space geodetic
techniques (primarly continuous GPS/GNSS and InSAR) … the observed displacements. A …

… and GNSS displacement time series. We select six typical GNSS stations in the study area
and mark them as pentagons in Figure 1. The GPS derived 3-D displacement time series are …

… GPS coordinate time series and InSAR time series [12, 13], … are important factors in seasonal
displacements [16]. Many … By filtering the GNSS coordinate time series of 12 stations in …

… Variational Bayesian independent Component Analysis (VB-… -InSAR method was applied
to decompose the displacement … matrix of the InSAR time series, we identified two deformation …

… [22] tested a modified variational Bayesian ICA method (vbICA) … To validate the InSAR
data used in this work, the satellite-… in this study is the Independent Component Analysis (ICA), …

… independent component analysis (ICA) was adopted to separate the mixed InSAR time series
signal into a set of independent … We could therefore calculate displacement time series in …

… It is based on InSAR data acquired by different satellites … and we will describe how these
GPS time series have been … up for missing data and a variational Bayesian ICA (vbICA) can be …

… For InSAR data, we use the same method to obtain the deformation of each point, and …
displacement based on the assumed three-direction coefficients. Further considering that InSAR …

… physical sources from the InSAR time series using independent component analysis (ICA)
to … “Variational Bayesian independent component analysis for InSAR displacement time-series …