The Impact of Model Based Despeckling on Soil Moisture Estimation

This paper presents model based despeckling and soil moisture estimation using TerraSAR-X data. The impact of despeckling on soil moisture estimation is presented and compared with real-ground measurements. This paper presents the model based despeckling using a maximum a posteriori approach. The prior is modeled using the auto-binomial model and Gauss Markov random field (GMRF). Both models belong to the family of Gibbs-Random fields. The likelihood is in both methods presented with the Gaussian pdf. The texture parameters of the ABM and GMRF models are estimated using the evidence maximization approach.