The users of Radarsat images need ground control points (GCP) to geometrically correct, to merge images or to facilitate the integration of extracted objects into a GIS. As the GCP selection is done manually, the quality of the rectified images depends on the ability of the operator to select good quality GCP. This selection is more difficult in SAR images due to their particular geometry and radiometry. We are working on the development of methods and software to automatically identify GCP in Radarsat images using a topographic database. Different strategies have been elaborated to deal with different contexts. The GCP identification is made according to the category to which the GCP belong. A method has been developed to automatically identify GCP belonging to the category Â“stretch of waterÂ” in a vector-based approach. It is based on recognition patterns which take into account the geometric deformations in SAR images.