Using generic knowledge in analysis of aerial scenes: a case study

Authors:
Andres Huertas;William Cole;Ramakant Nevatia
Affiliations:
Institute for Robotics and Intelligent Systems, Departments of Electrical Engineering and Computer Science, University of Southern California, Los Angeles, California;Institute for Robotics and Intelligent Systems, Departments of Electrical Engineering and Computer Science, University of Southern California, Los Angeles, California;Institute for Robotics and Intelligent Systems, Departments of Electrical Engineering and Computer Science, University of Southern California, Los Angeles, California
Venue:
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Year:
1989

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Abstract

Our goal is to produce high-quality symbolic descriptions from aerial scenes. We have chosen to work in the domain of large commercial airport complexes. Such scenes have a variety of features such as the transportation network, building structures, and mobile objects. This paper concentrates on detection and description of the transportation network (runways and taxiways). We illustrate the complexities of this problem and how it can be solved by using geometrical context and generic airport domain knowledge.