Title :
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
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;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.648094
