A robust phase unwrapping method for 3D borehole radar interferometric imaging

We proposed a robust algorithm for the phase unwrapping of interferometric SAR data for borehole application using Bayesian Markov Random Field (MRF) models. Our contribution to the existing algorithm consists on the exploitation of the Borehole InSAR coherence map in order to generate a more adaptive mask for each decomposition level. Moreover, we presented a general probabilistic framework to phase unwrapping problem. Bayesian estimator was applied to recover the desired phase, as the optimal field solution of the maximum a posteriori (MAP) estimation criterion. An iterative method that minimizes a general energy function is proposed.