Abstract
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.
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© 1995 Birkhäuser Verlag Basel
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Quint, F., Sties, M. (1995). Map—based semantic modeling for the extraction of objects from aerial images. In: Gruen, A., Kuebler, O., Agouris, P. (eds) Automatic Extraction of Man-Made Objects from Aerial and Space Images. Monte Verità. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-9242-1_29
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DOI: https://doi.org/10.1007/978-3-0348-9242-1_29
Publisher Name: Birkhäuser Basel
Print ISBN: 978-3-0348-9958-1
Online ISBN: 978-3-0348-9242-1
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