8 October 1996 Morphological approach to multiband synthetic aperture radar (SAR) image segmentation
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Silvina J. Loccisano, Silvina J. Loccisano, Marta Mejail, Marta Mejail, Julio Cesar Jacobo Berlles, Julio Cesar Jacobo Berlles, } "Morphological approach to multiband synthetic aperture radar (SAR) image segmentation", Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); doi: 10.1117/12.253446; https://doi.org/10.1117/12.253446

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