A new compact representation of dierential morphological prole (DMP) vector elds is presented. It is referred
to as the CSL model and is conceived to radically reduce the dimensionality of the DMP descriptors. The model
maps three characteristic parameters, namely scale, saliency and level, into the RGB space through a HSV
transform. The result is a a medium abstraction semantic layer used for visual exploration, image information
mining and pattern classication. Fused with the PANTEX built-up presence index, the CSL model converges
to an approximate building footprint representation layer in which color represents building class labels. This
process is demonstrated on the rst high resolution (HR) global human settlement layer (GHSL) computed from
multi-modal HR and VHR satellite images. Results of the rst massive processing exercise involving several
thousands of scenes around the globe are reported along with validation gures.
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