Discontinuity-adaptive Markov random field model for the segmentation of intensity SAR images

Author

Smits, P.C. ; Dellepiane, S.G.

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

Volume

37

Issue

1

fYear

1999

fDate

1/1/1999 12:00:00 AM

Firstpage

627

Lastpage

631

Abstract

An approach for the segmentation of synthetic aperture radar (SAR) intensity images is discussed. The method integrates the gamma distribution in an objective function that exploits a discontinuity-adaptive Markov random field (DA-MRF) model that allows the user to determine the degree of homogeneity of the results according to the nature of the phenomena of interest. Both visual and numerical results illustrate its potential

Keywords

Markov processes; adaptive signal processing; geophysical signal processing; geophysical techniques; image segmentation; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; adaptive signal processing; discontinuity-adaptive Markov random field model; gamma distribution; geophysical measurement technique; homogeneity; image segmentation; intensity SAR image; intensity image; land surface; objective function; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; Image analysis; Image processing; Image segmentation; Image sensors; Labeling; Markov processes; Markov random fields; Remote sensing; Spatial resolution; Synthetic aperture radar;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.739133

Filename

739133