Airport Detection Base on Support Vector Machine from A Single Image

Author

Qu, Yanyun ; Li, Cuihua ; Zheng, Nanning

Author_Institution

Dept. of Comput. Sci., Xiamen Univ.

fYear

0

fDate

0-0 0

Firstpage

546

Lastpage

549

Abstract

Airport is one of the key transportation targets. Airport detection is very important in military and civil fields. A novel method to detect airports from a single image is proposed in this paper. It combines texture features with shape features, and uses support vector machine as a classification function. Canny edge detector is firstly used, then short lines and curves are removed, and long straight lines are detected by Hough transform, at last the airport runways are discriminated by support vector machine. The experimental results demonstrate the efficacy of the proposed automatic airport-detection method

Keywords

Hough transforms; airports; edge detection; feature extraction; image classification; image texture; military communication; support vector machines; Canny edge detector; Hough transform; airport-detection method; military field; support vector machine; texture feature selection; Air transportation; Airports; Computer science; Image edge detection; Lagrangian functions; Matching pursuit algorithms; Roads; Shape; Support vector machine classification; Support vector machines; Hough transform; Support Vector Machine; airport detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2005 Fifth International Conference on

Conference_Location

Bangkok

Print_ISBN

0-7803-9283-3

Type

conf

DOI

10.1109/ICICS.2005.1689106

Filename

1689106