Modelling and Simulation for InSAR

Abstract

This paper demonstrates models and simulation methods of interferometry synthetic aperture radar (InSAR). The InSAR models are presented in detail, which includes modelling of radar signal geometry, wrapped phase estimation, and phase map estimation. Furthermore, an error model based on interferometric scale is derived by refering to aforementioned models. To consider the real condition of the return signal echo, Gaussian white noise model is applied into simulation model as noisy phase image generation. Moreover, simulation also take scence into challenging terrain conditions like fringes and spiral. The noise or extreme terrain structure might induce interferometry observation, which may lead to undeterminable phase map. To overcome these issues, we implement the well-known difficult task, which are two-dimensional phase unwrapping, and de-noising algorithm. Simulation models discussed in the paper are not only the powerful tools for surface deformation estimation (or digital elevation map generation), but also useful for advance research on InSAR phase unwrapping.