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Proceedings Paper

Morphological approach to multiband synthetic aperture radar (SAR) image segmentation
Author(s): Silvina J. Loccisano; Marta Mejail; Julio Cesar Jacobo Berlles
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Paper Abstract

The present work is a report of the results obtained using M-estimators, Mahalanobis distance and openings and closings in supervised segmentation of multiband SAR images. Once the training zones on the SAR images are established, the M- estimators robust estimation method is used to determine the mean value and the covariance matrix for each segment. Then, to carry out the first stage in the segmentation process, the Mahalanobis distance is used. To improve the segmentation obtained in the previous stage, a sequence of openings and closing s with a structuring element of growing size is applied. Real and synthetic images were used to evaluate the results.

Paper Details

Date Published: 8 October 1996
PDF: 12 pages
Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); doi: 10.1117/12.253446
Show Author Affiliations
Silvina J. Loccisano, Univ. de Buenos Aires (Argentina)
Marta Mejail, Univ. de Buenos Aires (Argentina)
Julio Cesar Jacobo Berlles, Univ. de Buenos Aires (Argentina)

Published in SPIE Proceedings Vol. 2823:
Statistical and Stochastic Methods for Image Processing
Edward R. Dougherty; Francoise J. Preteux; Jennifer L. Davidson, Editor(s)

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