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Proceedings Paper

Knowledge-based system for analysis of aerial images
Author(s): Hormoz Shariat
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Paper Abstract

In this paper we describe a system for monitoring activities in aerial images. The system uses many knowledge sources and databases to guide the interpretation process. It has an innovative control scheme for managing the execution of the tasks utilizing of its knowledge sources and updating of its many databases. As a result the system not only is aware of the existence and usefulness of all knowledge present in its vanous databases it also knows how to use that knowledge and the processing modules in cooperation to achieve a common goal of detecting events of interests from a set of aerial photographs. Also to overcome the difficulties of the object recognition task a model-based technique is used to detect predict verify and recognize the objects of interests in the scene.

Paper Details

Date Published: 1 February 1991
PDF: 12 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25163
Show Author Affiliations
Hormoz Shariat, Lockheed Palo Alto Research Lab. (United States)


Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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