Phase unwrapping by Markov Chain Monte Carlo energy minimization
Adi K.a,b, Suksmono A.B.b, Mengko T.L.R.b, Gunawan H.a
a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Indonesia
b Physics Department, Faculty of Mathematics and Natural Science, Universitas Diponegoro, Indonesia
Abstract
Phase unwrapping (PU) is a process to obtain the absolute value of a phase field from the wrapped one. Ideally, without phase noise, singularity, and aliasing problems, the phase information can be unwrapped easily. However, the phase data are always contaminated by noise and discontinuities, making the PU process more complicated. Hence, a suitable PU algorithm is required to address the problems appropriately. Markov Chain Monte Carlo (MCMC) Energy Minimization is usually used to partially remove phase noise. In this letter, the MCMC energy minimization that yields the unwrapped phase is shown. Furthermore, the capability of the proposed method to unwrap simulated and actual InSAR phase images is also demonstrated (Fujiyama Mount). © 2006 IEEE.
Author keywords
Absolute values,Aliasing problems,Energy minimization,Markov chain monte carlo,Phase data,Phase fields,Phase image,Phase information,Phase unwrapping
Indexed keywords
Energy minimization,phase unwrapping (PU)
Funding details
Manuscript received July 23, 2009; revised December 2, 2009 and December 22, 2009. Date of publication May 10, 2010; date of current version October 13, 2010. This work was supported in part by the Directorate General of Higher Education (DIKTI), by the Ministry of National Education, Indonesia, and by the Bandung Institute of Technology (ITB) Research Centre on Information and Communication Technology (PPTIK-ITB).