Singular Unit Restoration Based on Complex-Valued Markov Random Field Model for Insar Interferograms

Author

Yamaki, Ryo ; Hirose, Akira

Author_Institution

Dept. of Electornic Eng., Univ. of Tokyo, Tokyo

Volume

2

fYear

2008

fDate

7-11 July 2008

Abstract

The complex-valued Markov random field (CMRF) model is a powerful basis in complex-amplitude image processing. In this paper, we propose a method to reduce singular points (SPs) included in interferograms based on the CMRF model by focusing on the local pixel-value correlation. We deal with the SP-forming four pixels as a set, namely the singular unit (SU), in the CMRF-based compensation of data values distorted in electromagnetic-wave propagation with interference. We find that the method reduces the SP number with less processing distortion.

Keywords

Markov processes; image processing; radar interferometry; remote sensing by radar; synthetic aperture radar; CMRF model; complex valued Markov random field model; image processing; inSAR interferograms; singular unit restoration; Digital filters; Electromagnetic interference; Electromagnetic propagation; Filtering; Image processing; Image restoration; Markov random fields; Parameter estimation; Power engineering and energy; Synthetic aperture radar interferometry; digital elevation map (DEM); interferometric synthetic aperture radar (InSAR); phase unwrapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779185

Filename

4779185