A robust phase unwrapping method for 3D borehole radar interferometric imaging

Author

Qiang Hou ; He Ping Pan

Author_Institution

Fac. of Mech. & Electron. Inf., China Univ. of Geosci.(CUG), Wuhan, China

fYear

2013

fDate

6-10 Oct. 2013

Firstpage

1799

Lastpage

1802

Abstract

We proposed a robust algorithm for the phase unwrapping of interferometric SAR data for borehole application using Bayesian Markov Random Field (MRF)models. Our contribution to the existing algorithm consists on the exploitation of the Borehole InSAR coherence map in order to generate a more adaptive mask for each decomposition level. Moreover, we presented a general probabilistic framework to phase unwrapping problem. Bayesian estimator was applied to recover the desired phase, as the optimal field solution of the maximum a posteriori (MAP) estimation criterion. An iterative method that minimizes a general energy function is proposed.

Keywords

Bayes methods; Markov processes; iterative methods; maximum likelihood estimation; radar imaging; radar interferometry; synthetic aperture radar; 3D borehole radar interferometric imaging; Bayesian Markov random field model; Bayesian estimator; Borehole InSAR coherence map; MAP estimation criterion; MRF model; adaptive mask; general probabilistic framework; interferometric SAR data; iterative method; maximum a posteriori estimation criterion; optimal field solution; robust phase unwrapping method; Bayes methods; Geometry; Ground penetrating radar; Radar imaging; Signal processing algorithms; Synthetic aperture radar; borehole radar imaging; interferometric SAR; markov random field(MRF); maximum a posterirori(MAP);

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference (EuMC), 2013 European

Conference_Location

Nuremberg

Type

conf

Filename

6687028