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
Discontinuity adaptive MRF model for the analysis of synthetic aperture radar imagesProceedings of International Conference on Image Processing
DELLEPIANE, SILVANA
1997-01-01
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 dataFile in questo prodotto:
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