2D phase unwrapping using Markov random field based phase locked loops

نویسندگان

  • N. Deniz Cagatay
  • Mihai Datcu
چکیده

In this work, a Markov random field based phase locked loop is proposed for phase unwrapping. The neighboring pixels are used to update the phase estimate of the centering pixel. The performance of the proposed method is evaluated for both synthetic and real interferometric phase. For terrains with relatively low slopes, the phase unwrapping is done successfully. However, in case of high fringe frequency, the method fails to unwrap the whole phase gradient. Nevertheless, the noise suppression capability of phase locked loop is remarkable.

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تاریخ انتشار 2013