Interferometric SAR topographic mapping, a Bayesian model-based approach

A novel treatment of interferometric SAR as a Bayesian estimation problem is presented. Application of the Bayesian approach involves devising: a model relating system geometry, surface topography and reflectivity to the measured radar signals, a stochastic model of the topographic surface embodying the dominant terrain characteristics of slope and curvature and a stochastic model of the surface reflective properties. This information is combined into a conditional probability density function of the model parameters given the measured data. System models are proposed, and possible algorithms for estimating model parameters are considered. The issue of formulating an error estimate is discussed