Multiple Auxiliaries Assisted Airborne Power Line Detection
Shan, Haotian1,2; Zhang, Jun1,2; Cao, Xianbin1,2; Li, Xuelong3; Wu, Dapeng1,2,4
刊名ieee transactions on industrial electronics
2017-06-01
卷号64期号:6页码:4810-4819
关键词Automatic auxiliaries selection Bayesian network context low altitude flight power line detection
ISSN号0278-0046
通讯作者shan, ht (reprint author), beihang univ, sch elect & informat engn, beijing 100191, peoples r china.
产权排序3
英文摘要airborne power line detection is a key technique to ensure low altitude flight safety. yet, it is a challenging problem due to the extremely small size of power line targets. recently, auxiliary assisted detection has shown great potential in improving the power line detection performance. however, in existing methods, the auxiliaries and the contexts between the power lines and the auxiliaries are both manually assigned, thus limits its applicability. in this paper, a novelmultiple auxiliaries assisted power line detection method is proposed. with an optimization based auxiliaries selection and contexts acquisition scheme, the proposed method cannot only decide which auxiliaries should be selected to assist the detection, but also acquire the context information of each kind of auxiliaries, all in an automatic way. experimental results show that the proposed method surpasses the state-of-the-art power line detection methods, both in terms of detection accuracy and false alarm probability.
学科主题automation & control systems ; engineering, electrical & electronic ; instruments & instrumentation
WOS标题词science & technology ; technology
类目[WOS]automation & control systems ; engineering, electrical & electronic ; instruments & instrumentation
研究领域[WOS]automation & control systems ; engineering ; instruments & instrumentation
关键词[WOS]aerial inspection ; system ; aircraft ; images ; flight ; video
收录类别SCI
语种英语
WOS记录号WOS:000401328500048
内容类型期刊论文
源URL[http://ir.opt.ac.cn/handle/181661/28939]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
2.Natl Key Lab CNS ATM, Beijing 100191, Peoples R China
3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Peoples R China
4.Univ Florida, Gainesville, FL 32611 USA
推荐引用方式
GB/T 7714
Shan, Haotian,Zhang, Jun,Cao, Xianbin,et al. Multiple Auxiliaries Assisted Airborne Power Line Detection[J]. ieee transactions on industrial electronics,2017,64(6):4810-4819.
APA Shan, Haotian,Zhang, Jun,Cao, Xianbin,Li, Xuelong,&Wu, Dapeng.(2017).Multiple Auxiliaries Assisted Airborne Power Line Detection.ieee transactions on industrial electronics,64(6),4810-4819.
MLA Shan, Haotian,et al."Multiple Auxiliaries Assisted Airborne Power Line Detection".ieee transactions on industrial electronics 64.6(2017):4810-4819.
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