Power line detection based on symmetric partial derivative distribution prior
文献类型：会议论文
| 作者 | Cao YR(曹蔚然); Yang XY(杨秀义); Zhu LL(朱琳琳) ; Han JD(韩建达); Wang TR(王天然)
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| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE International Conference on Information and Automation, ICIA 2013 |
| 会议日期 | August 26-28, 2013 |
| 会议地点 | Yinchuan, China |
| 关键词 | Aerial images Image priors Partial derivatives Power lines Prior knowledge Radon Transform Radon transformations UAVs |
| 页码 | 767-772 |
| 通讯作者 | 曹蔚然 |
| 中文摘要 | In this paper, we propose a simple but effective image prior; symmetry partial derivative distribution to detect power lines in aerial image for UAVs. The symmetry partial derivative distribution is a kind of statistics of the images. It is based on a key observation; most nature images have symmetry partial derivative distributing. Based on this prior knowledge, we use radon transformation in partial derivative image and recognize the power lines in the aerial image. The experiment results demonstrate our method is effective for automatic power line detection. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2013 IEEE International Conference on Information and Automation, ICIA 2013
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| 会议录出版者 | IEEE Computer Society |
| 会议录出版地 | Washington, DC |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-1334-3 |
| WOS记录号 | WOS:000346483800138 |
| 源URL | [http://ir.sia.cn/handle/173321/14594]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Cao YR,Yang XY,Zhu LL,et al. Power line detection based on symmetric partial derivative distribution prior[C]. 见:2013 IEEE International Conference on Information and Automation, ICIA 2013. Yinchuan, China. August 26-28, 2013. |
入库方式： OAI收割
来源：沈阳自动化研究所
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