Multichannel Phase Unwrapping With Graph Cuts

Markovian approaches have proven to be effective for solving the multichannel phase-unwrapping (PU) problem, particularly when dealing with noisy data and big discontinuities. This letter presents a Markovian approach to solve the PU problem based on a new a priori model, the total variation, and gr...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2009-07, Vol.6 (3), p.562-566
Hauptverfasser:	Ferraioli, G., Shabou, A., Tupin, F., Pascazio, V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Dealing Discontinuity Filtering Filtering algorithms Graph cuts Markov random field Markov random fields Mathematical models Multichannel multichannel synthetic aperture radar (SAR) interferometry Optimization Optimization methods Phase estimation Phase measurement Phase noise Polyurethane resins Robustness Synthetic aperture radar Synthetic aperture radar interferometry Telecommunications
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