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8 October 1996 Morphological approach to multiband synthetic aperture radar (SAR) image segmentation
Silvina J. Loccisano, Marta Mejail, Julio Cesar Jacobo Berlles
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Proceedings Volume 2823, Statistical and Stochastic Methods for Image Processing; (1996) https://doi.org/10.1117/12.253446
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States
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.
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Silvina J. Loccisano, Marta Mejail, and 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); https://doi.org/10.1117/12.253446
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KEYWORDS
Image segmentation
Image filtering
Synthetic aperture radar
Image processing
Mahalanobis distance
Image classification
Radio over Fiber
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