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- W1990706377 abstract "Abstract In this work a technique for cloud detection and classification from MSG–SEVIRI (Meteosat Second Generation–Spinning Enhanced Visible and Infra-red Imager) imagery is presented. It is based on the segmentation of the multispectral images using order-invariant watershed algorithms, which are applied to the corresponding gradient images, computed by a multi-dimensional morphological operator. To reduce the over-segmentation produced by the watershed method, a RAG (Region Adjacency Graph) based region merging technique is applied, using region dissimilarity functions. Once the objects present in the image have been segmented, they are classified using a multi-threshold method based on physical considerations that takes into account the statistical parameters inside each region." @default.
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- W1990706377 date "2012-01-01" @default.
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- W1990706377 title "Watershed image segmentation and cloud classification from multispectral MSG–SEVIRI imagery" @default.
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- W1990706377 doi "https://doi.org/10.1016/j.asr.2011.09.023" @default.
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