Abstract
Many image understanding systems rely heavily on a priori knowledge of their domain of application, drawing parallels with and exploiting techniques developed in the wider field of knowledge-based systems (KBSs). Attempts, typified by the KADS/CommonKADS projects, have recently been made to develop a structured, knowledge engineering approach to KBS development. Those working in image understanding, however, continue to employ 151 generation KBS methods. The current paper presents an analysis of existing image understanding systems; specifically those concerned with aerial image interpretation, from a knowledge engineering perspective. Attention is focused on the relationship between the structure of the systems considered and the existing KADS/CommonKADS models of expertise, sometimes called “generic task models”. Mappings are identified between each system and an appropriate task model, identifying common inference structures and use of knowledge.
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© 2002 Springer-Verlag London
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Darwish, A., Pridmore, T., Elliman, D. (2002). Interpreting Aerial Images: A Knowledge-Level Analysis. In: Macintosh, A., Moulton, M., Preece, A. (eds) Applications and Innovations in Intelligent Systems IX. Springer, London. https://doi.org/10.1007/978-1-4471-0149-9_13
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DOI: https://doi.org/10.1007/978-1-4471-0149-9_13
Publisher Name: Springer, London
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