Description: 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.
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