Discontinuity adaptive MRF model for the analysis of synthetic aperture radar images

Author

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

Author_Institution

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

Volume

1

fYear

1997

Firstpage

837

Abstract

In this paper, a novel approach is presented for the segmentation of synthetic aperture radar (SAR) images. The method integrates the gamma distribution, appropriate for SAR data, in an objective function that exploits the discontinuity adaptive MRF model proposed by Li (1995). After a straightforward initialization routine that computes for each class the mean intensity value, the objective function is minimized using deterministic relaxation. Results are shown on real-world data

Keywords

Markov processes; adaptive signal processing; gamma distribution; image segmentation; radar imaging; random processes; remote sensing by radar; spaceborne radar; synthetic aperture radar; SAR data; SAR images; deterministic relaxation; discontinuity adaptive MRF model; gamma distribution; image analysis; image segmentation; initialization routine; mean intensity value; objective function; real-world data; spaceborne sensor; synthetic aperture radar images; Geometry; Image analysis; Image processing; Image resolution; Image segmentation; Image sensors; Labeling; Spatial resolution; Speckle; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.648094

Filename

648094