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Phase difference-based multichannel phase unwrapping
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DOI：10.1109/TIP.2005.849302.png)
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摘要
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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.
Keyword:
maximum likelihood (ML)
multiple acquisitions
phase unwrapping (PhU)
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期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
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