Power line detection based on symmetric partial derivative distribution prior

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Power line detection based on symmetric partial derivative distribution prior
	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)
	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
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
内容类型	会议论文
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.