Object-Aware Power Line Detection Using Color and Near-Infrared Images
文献类型：期刊论文
| 作者 | Luo, Xiaoyan1; Zhang, Jun1; Cao, Xianbin1; Yan, Pingkun2; Li, Xuelong2
|
| 刊名 | ieee transactions on aerospace and electronic systems
 |
| 出版日期 | 2014-04-01 |
| 卷号 | 50期号:2页码:1374-1389 |
| ISSN号 | 0018-9251 |
| 英文摘要 | vision-based power line detection (pld) is an important yet challenging problem in low-altitude flight. different from the traditional pld methods, which only aim at line information, we propose a novel object-aware pld method to obtain better detection performance. a new definition of power line is first proposed to present its object-aware properties; and then a cascaded pld scheme is devised with line detection, region filtration, and object validation based on corresponding image cues in joint color (rgb) and near-infrared (nir) images. considering that the primary goal of pld is to capture all potential information and decrease the false negatives, we first treat the universal line shape in pixel from joint rgb-nir images as a basic feature to explore general line candidates. to further pick out the accurate regions occupied by power lines, on the one hand we filter the false candidates based on the region-based intensity of special material characteristics in nir, and on the other hand we validate the power lines according to the color features in rgb. the experiments demonstrate the advantages |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | engineering, aerospace ; engineering, electrical & electronic ; telecommunications |
| 研究领域[WOS] | engineering ; telecommunications |
| 关键词[WOS] | video ; navigation ; inspection ; aircraft ; fusion |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000344364500042 |
| 公开日期 | 2015-03-18 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/22352]  |
| 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.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 61, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Xiaoyan,Zhang, Jun,Cao, Xianbin,et al. Object-Aware Power Line Detection Using Color and Near-Infrared Images[J]. ieee transactions on aerospace and electronic systems,2014,50(2):1374-1389. |
| APA | Luo, Xiaoyan,Zhang, Jun,Cao, Xianbin,Yan, Pingkun,&Li, Xuelong.(2014).Object-Aware Power Line Detection Using Color and Near-Infrared Images.ieee transactions on aerospace and electronic systems,50(2),1374-1389. |
| MLA | Luo, Xiaoyan,et al."Object-Aware Power Line Detection Using Color and Near-Infrared Images".ieee transactions on aerospace and electronic systems 50.2(2014):1374-1389. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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