Stochastic model for radar interferometry

Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 2)


This chapter presents the stochastic part of the Gauss-Markoff model for radar interferometry. It revisits the necessary theoretical concepts before focusing on the single-point statistics and multiple-point statistics. The quality of an interferogram is described in terms of the first and second moments. Error sources introduced by scattering, geometry, instrument, orbit, atmosphere, and signal processing are discussed. Models are proposed to describe atmospheric signal due to turbulent mixing and vertical stratification. Error propagation is used to derive a generic stochastic model.

key words

Stochastic model Quality analysis Error sources Error propagation Atmosphere 


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Copyright information

© Kluwer Academic Publishers 2002

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