Multiscale Bayesian terrain height estimation from SAR interferometry

The phase unwrapping is the key step in recovering the terrain elevations from Interferometric SAR (InSAR) data. The problem is to find an estimate of the phase values known the wrapped noisy phase observations. In this article the authors introduce a new Bayesian model based solution for the phase unwrapping using a multiscale stochastic process as a prior for the estimation of the terrain height.

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