Buildings extraction is an important task for various applications such as update of geodata, management of industrial and natural risks, management of urban and territorial projects, etc. This paper presents a new method for extraction of buildings from different types of imagery. Our methodology is based on three steps: The first one is the use of image contextual information; it concerns the definition of a building like as homogeneous building elements which form a set of linear segments; these segments give a polygon characterized by a surface and a perimeter. The second one is the integration of an optimization process for the extraction of buildings; it is used to formulate the buildings extraction problem as a problem of optimization of an objective function, and the use of mathematical morphology to obtain the final results. The last step is to improve the reliability of the obtained results by the use of registration principle and the surface and the perimeter calculations; they permit quality and quantitative evaluations. The experimental results acquired are generally competitive compared to some existing methods.

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