Atmospheric Error, Phase Trend and Decorrelation Noise in Terrasar-x Differential Interferograms
نویسنده
چکیده
The potential of TerraSAR-X data for deformation measurements benefits from high spatial and temporal resolution and even allow detecting higher deformation gradients compared to other sensors. However, decorrelation noise from vegetation and atmospheric effects are of greater importance because of the shorter wavelength. The extent of a TerraSAR-X scene is small compared to common scale atmospheric features and therefore a phase trend appears that has to be addressed carefully. The error content of TerraSAR-X interferograms can be modeled with a stochastic approach as stationary autocorrelated component superimposed with a trend and white noise. These components were analyzed in a large stack of short-term interferograms; summary statistics of covariance parameters are given.
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