Abstract
This chapter explores that the detection of airport transportation networks (ATNs) in sequences of aerial images is an important task in applications related to the autonomous navigation and landing of aircraft. It is also a complex and demanding problem because of variability in the structure and characteristics of ATNs and because of the various forms of noise that may corrupt the input sequences. In addition, the complexity of the task increases considerably when perspective effects are present in the images. To solve this problem effectively, additional information, in terms of both the aircraft navigation parameters and the airport area, should be fused together with the input visual information. The chapter describes such an approach for detecting ATNs in airport aerial image sequences obtained by a forward looking airborne camera. It presents computer simulation results when the system operates on real airport aerial image sequences, and demonstrates the advantage of fusing the information obtained from other image independent data sources with input images.
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Schedule a callMore From: Proceedings IWISP '96, 4 - 7 November 1996; Manchester, UK
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