A runway recognition algorithm based on heuristic line extraction

Author

Dong, Yinwen ; Yuan, Bingcheng ; Wang, Hangyu ; Shi, Zhaoming

Author_Institution

Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China

fYear

2011

fDate

21-23 Oct. 2011

Firstpage

292

Lastpage

296

Abstract

An airport is a typical strategic target for detection and attack, and runway recognition automatically in an aerial image has an important military meaning. Aimed at the characteristics of the edge lines of the runway in an aerial image, a runway recognition algorithm based on heuristic line extraction is presented. First, we use the Sobel operator to get the edge image that has been number normalized, and extract the available straight lines by employing an heuristic search in the edge image. Then, we connect the straight lines and extract the parallel straight lines. Finally, we recognize the runway correctly based on the characteristics of the grey area. Many experiments show that this method can find the runway of an airport exactly and quickly in an aerial image.

Keywords

airports; edge detection; grey systems; object detection; search problems; Sobel operator; aerial image; airport; edge image; edge lines; grey area; heuristic line extraction; heuristic search; military meaning; parallel straight lines; runway recognition algorithm; strategic target attack; strategic target detection; Airports; Algorithm design and analysis; Clustering algorithms; Heuristic algorithms; Image edge detection; Trajectory; edge detection; heuristic search; runway recognition; straight line connection; straight line extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing (IASP), 2011 International Conference on

Conference_Location

Hubei

Print_ISBN

978-1-61284-879-2

Type

conf

DOI

10.1109/IASP.2011.6109049

Filename

6109049