A stochastic model for the atmospheric disturbance in DInSAR images is presented. Using a ray-propagation approach, the random path between two points in a turbulent atmosphere is modeled as a three dimensional random walk. First and second-order probability density functions of the differential phase of the atmospheric disturbance are derived and the model is experimentally validated by comparison between the characteristic function of real data and that predicted from the theoretical model.
Stochastic modelling of atmospheric effects in SAR differential interferometry
DI BISCEGLIE M;GALDI C.;
2001-01-01
Abstract
A stochastic model for the atmospheric disturbance in DInSAR images is presented. Using a ray-propagation approach, the random path between two points in a turbulent atmosphere is modeled as a three dimensional random walk. First and second-order probability density functions of the differential phase of the atmospheric disturbance are derived and the model is experimentally validated by comparison between the characteristic function of real data and that predicted from the theoretical model.File in questo prodotto:
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