Multichannel SAR interferometry via classical and Bayesian estimation techniques
EURASIP Journal on Applied Signal Processing
Multi-frequency Phase Unwrapping from Noisy Data: Adaptive Local Maximum Likelihood Approach
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
IEEE Transactions on Signal Processing
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A technique that is able to reconstruct highly sloped and discontinuous terrain height profiles, starting from multifrequency wrapped phase acquired by interferometric synthetic aperture radar (SAR) systems, is presented. We propose an innovative unwrapping method, based on a maximum likelihood estimation technique, which uses multifrequency independent phase data, obtained by filtering the interferometric SAR raw data pair through nonoverlapping band-pass filters, and approximating the unknown surface by means of local planes. Since the method does not exploit the phase gradient, it assures the uniqueness of the solution, even in the case of highly sloped or piecewise continuous elevation patterns with strong discontinuities.