Rule based interpretation of aerial imagery

  • Authors:

  • David M. McKeown, Jr.;Wilson A. Harvey;John McDermott

  • Affiliations:

  • Department of Computer Science, Carnegie-Mellon University, Pittsburgh, Pa;Department of Computer Science, Carnegie-Mellon University, Pittsburgh, Pa;Department of Computer Science, Carnegie-Mellon University, Pittsburgh, Pa

  • Venue:
  • PKWBS-W'84 Proceedings of the 1984 IEEE conference on Principles of knowledge-based systems
  • Year:
  • 1984

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Abstract

In this paper we describe the organization of a rule based system, SPAM, that uses map and doinain specific knowledge to interpret airport scenes. This research investigates the use of a rule-based system for the control of image processing and interpretation of results with respect to a world model, as well as the representation of the world model within an image/map database. We present results on the interpretation of an high resolution airport scene where the image segmentation has been performed by a human and by a region-based image segmentation program. The result of the system's analysis is characterized by the labeling of individual regions in the image and the collection of these regions into consistent interpretations of' the major components of an airport model. These interpretations are ranked on the basis of their overall spatial and structural consistency. Some evaluations based on the the results from three evolutionary versions of SPAM are presented.