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Proceedings Paper

Knowledge-based algorithm for extracting airport runways in infrared aerial images
Author(s): Dong Chen; Yongjie Huang; Zhenkang Shen; Jicheng Li; Jun Geng
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Paper Abstract

Extracting Airport Runways in Infrared aerial images is a task of great important for many applications. Some traditional methods rarely give a complete outline of the desired structures. A new method has been proposed to extract the airport runways. It contains three steps: Firstly, we extract the straight lines form the original infrared aerial images. Secondly, we get rid of some short lines on the basis of rule-based knowledge that we have got form field experts. Thirdly, we confirm whether there is an airport according to the position interrelation among these straight lines and rule-based knowledge. If there is an airport, we shall extract the runway regions from it. Our techniques have been tested on several typical of infrared aerial images that contain airports. The experimental results show that all the airports have been found, and the runways have been extracted entirely. This algorithm also adapts to aerial optical images.

Paper Details

Date Published: 25 September 2001
PDF: 4 pages
Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441406
Show Author Affiliations
Dong Chen, Beijing Tongli Institute of Electronic Technology (China)
Yongjie Huang, Beijing Tongli Institute of Electronic Technology (China)
Zhenkang Shen, Changsha Institute of Technology (China)
Jicheng Li, Changsha Institute of Technology (China)
Jun Geng, Beijing Tongli Institute of Electronic Technology (China)


Published in SPIE Proceedings Vol. 4548:
Multispectral and Hyperspectral Image Acquisition and Processing

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