Map—based semantic modeling for the extraction of objects from aerial images

Images taken from satellite or airborne platforms usually do not represent isolated information of man’s environment. In most countries, valuable context data are available which may be integrated successfully in the image interpretation procedure. This paper presents the verification phase of a Map Oriented SE mantic image underStanding process1(Moses). It is implemented as a model driven process, where semantic networks are used as modeling tools. In a three stage scheme, the models are successively refined and for image analysis an automatically generated semantic network, specialized on the analysis of the underlying scene is used. Digitized topographic maps serve as a principal knowledge source.