DocumentCode :
682327
Title :
Airport runway extraction method in aviation reconnaissance image
Author :
Zhang Fengjing ; Sun Wenbang ; Guo Yongsheng
Author_Institution :
Special Inf. Dept., Air Force Aviation Univ., Changchun, China
fYear :
2013
fDate :
23-24 Dec. 2013
Firstpage :
152
Lastpage :
154
Abstract :
A new airport runway extraction method is put forward. Firstly, it is utilized the fuzzy enhancement arithmetic to highlight the runway in the image; And then using canny operator for edge detection; Use mathematical morphology opening which can make some of the curved edge in the image broken down into smaller straight edge; Finally, we can obtain the runway by marking the location of the edge and calculating the edge size. The experimental result shows that the proposed method can rapidly and accurately extract the airport runway in the aerial reconnaissance image and has good reliability and applicability.
Keywords :
airports; edge detection; feature extraction; fuzzy set theory; image enhancement; airport runway extraction method; aviation reconnaissance image; canny operator; curved edge; edge detection; edge size; fuzzy enhancement arithmetic; mathematical morphology; straight edge; Airports; Data mining; Image edge detection; Morphology; Reconnaissance; Transforms; airport runway; edge extraction; fuzzy enhancement; mathematical morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/IMSNA.2013.6743239
Filename :
6743239
Link To Document :
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