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SAR images filtering and segmentation: a multiresolution and contextual approach

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5 Author(s)
Franco, J.A. ; Graduate Div., Nat. Univ. of Mexico, Mexico ; Moctezuma, M. ; Barilla, M.E. ; Escalante, B.
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In this work we present a mixed contextual algorithm for segmenting SAR-ERS 1 images (© ESA). The first step was to pre-process the original SAR image by means of a polynomial transform based filter in order to decrease the effect of speckle. Segmentation stage was performed as follows: cluster centers were obtained using a non-contextual algorithm; then, based on a Bayes classifier we achieved a first segmentation step, but defining a 'reject class'; finally, rejected pixels were e-classed via a Markovian model. Results obtained show segmented images exhibiting homogeneous regions and a minimal presence of isolated pixels. As well, they evidence that combined use of polynomial transform and Markov random field theory does not introduce a noticeable degradation of edges in segmented regions

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Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International  (Volume:5 )

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