Multiple Auxiliaries Assisted Airborne Power Line Detection | |
Shan, Haotian1,2; Zhang, Jun1,2; Cao, Xianbin1,2; Li, Xuelong3; Wu, Dapeng1,2,4; Shan, HT (reprint author), Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China. | |
作者部门 | 光学影像学习与分析中心 |
2017-06-01 | |
发表期刊 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
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ISSN | 0278-0046 |
卷号 | 64期号:6页码:4810-4819 |
产权排序 | 3 |
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. |
文章类型 | Article |
关键词 | Automatic Auxiliaries Selection Bayesian Network Context Low Altitude Flight Power Line Detection |
学科领域 | Automation & Control Systems |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TIE.2017.2668994 |
收录类别 | SCI ; EI |
关键词[WOS] | AERIAL INSPECTION ; SYSTEM ; AIRCRAFT ; IMAGES ; FLIGHT ; VIDEO |
语种 | 英语 |
WOS研究方向 | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
项目资助者 | National Natural Science Foundation of China(91538204) ; National Science Fund for Distinguished Young Scholars(61425014) ; Foundation for Innovative Research Groups of the National Natural Science Foundation of China(61521091) |
WOS类目 | Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS记录号 | WOS:000401328500048 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/28939 |
专题 | 光谱成像技术研究室 |
通讯作者 | Shan, HT (reprint author), Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China. |
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,&Shan, HT .(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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Multiple Auxiliaries(954KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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