Maximum a posteriori height estimation in InSAR imaging

A multi-frequencies maximum a posteriori (MAP) estimation of height profiles, from InSAR data, is presented in this paper. A quadratic MRF model is adopted to exploit a-priori information about the unknown image; the hyperparameter estimation, performed on a local basis, provides a powerful representation model for realistic height surfaces. The resulting MAP estimation is efficiently performed by a Metropolis version of the simulated annealing algorithm, and is able to reconstruct very discontinuous profiles.