Abstract
As there are many objects of various kinds on the surface of the ground, diverse knowledge should be incorporated to describe its structure. As mentioned in Section 2.3, the software architecture of a production system has the desirable characteristics enabling the analysis of such a complex scene as an aerial photograph. The diverse knowledge, which can hardly be represented in a compact form, is divided into a set of mutually independent knowledge sources (production rules), in which we can write individually the specialized knowledge of each specific object. A knowledge source for an object is in our system an object-detection subsystem. It checks the contents of the blackboard and returns the result of the analysis to the blackboard. It never calls other subsystems directly. All communication among object-detection subsystems is made indirectly via the blackboard.
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© 1980 Plenum Press, New York
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Nagao, M., Matsuyama, T. (1980). Object Recognition. In: A Structural Analysis of Complex Aerial Photographs. Advanced Applications in Pattern Recognition. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-8294-6_6
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DOI: https://doi.org/10.1007/978-1-4615-8294-6_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4615-8296-0
Online ISBN: 978-1-4615-8294-6
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