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Maximum a posteriori estimation of height profiles in InSAR imaging

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3 Author(s)
Ferraiuolo, G. ; Dipt. di Ingegneria Elettronica e delle Telecomunicazioni, Univ. di Napoli "Federico II", Naples, Italy ; Pascazio, V. ; Schirinzi, G.

We present a statistical method to solve the height estimation problem in interferometric synthetic aperture radar (InSAR) applications. It is based on the use of multifrequency SAR raw datasets obtained by partitioning in subbands the available raw data spectrum, and on a Bayesian estimator using Markov random fields to model the a priori distribution of the unknown images. The method allows recovering topographic profiles affected by strong height discontinuities and allows to perform efficient noise rejections.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:1 ,  Issue: 2 )