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Phase difference-based multichannel phase unwrapping

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3 Author(s)
Fornaro, G. ; Inst. per il Rilevamento Elettromagnetico dell''Ambiente, Nat. Res. Council of Italy, Napoli, Italy ; Pauciullo, A. ; Sansosti, E.

This work addresses the derivation of the phase difference-based maximum likelihood (ML) phase unwrapping algorithm. To this end, we derive the joint statistics of the phase differences on a two-dimensional grid for the multichannel case, where several scaled wrapped phase values are available. Subsequently, we determine and study the structure of the phase difference-based ML estimator and compare it to known phase unwrapping techniques. This work allows us to frame single and multichannel algorithms in a common formulation. Moreover, among the known single-channel phase difference-based procedures, we identify those attaining an ML solution. We also show that multichannel phase difference-based and, recently proposed, phase-based ML algorithms achieve equivalent solutions.

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Image Processing, IEEE Transactions on  (Volume:14 ,  Issue: 7 )