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International audienceThe Hit-or-Miss transform is a well-known morphological operator for template matching in binary and grey-level images. However it cannot be used straightforward in multivalued images (such as colour or multispectral images) since Mathematical Morphology needs an ordering relation which is not trivial on multivalued spaces. Moreover, existing denitions of the Hit-Or-Miss Transform in grey-level use only spatial templates (or structuring elements) which could be insucient for some feature extraction problems. In this paper, we propose a multivariate Hit- or-Miss Transform operator which combines spatial and spectral patterns to perform template matching. We illustrate its relevance with an application in the remote sensing eld, the extraction of coastline from very high (spatial) resolution images

A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching