Detecting runways in aerial imlages

  • Authors:

  • A. Huertas;W. Cole;R. Nevada

  • Affiliations:

  • Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, California;Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, California;Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, California

  • Venue:
  • AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
  • Year:
  • 1987

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Abstract

We are pursuing the detection of runways in aerial images as part of a project to automatically map complex cultural areas such as a major commercial airport complex. This task is much more difficult that appears at first. We use a hypothesize and test paradigm. Hypotheses are formed by looking for instances of long rectangular shapes, possibly interrupted by other long rectangles. We use runway markings, mandated by standards for runway construction, to verify our hypotheses.