DocumentCode :
3415541
Title :
Automatic bridge detection in SAR images based on fuzzy support vector machine and distance space
Author :
Lv, Wentao ; Yu, Wenxian ; Wang, Junfeng ; Wang, Kaizhi
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Volume :
2
fYear :
2011
fDate :
24-27 Oct. 2011
Firstpage :
1847
Lastpage :
1849
Abstract :
A novel bridge detection algorithm based on fuzzy support vector machine (FSVM) and distance space is proposed in this paper. The experimental results show that the used strategy is effective for bridge recognition.
Keywords :
bridges (structures); fuzzy systems; image recognition; radar imaging; radar target recognition; support vector machines; synthetic aperture radar; SAR images; automatic bridge detection; bridge detection algorithm; bridge recognition; distance space; fuzzy support vector machine; Bridges; Feature extraction; Image recognition; Rivers; Support vector machine classification; Target recognition; bridge detection; distance space; fuzzy support vector machine; river regions extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
Type :
conf
DOI :
10.1109/CIE-Radar.2011.6159932
Filename :
6159932
Link To Document :
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