unitpanelnodedetectionbycnnonfastreflector

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	unitpanelnodedetectionbycnnonfastreflector
	ZhiSong Zhang 1; LiChun Zhu 1; Wei Tang 1; XinYi Li 1
刊名	天文和天体物理学研究英文版
	2019
卷号	000 期号:001 页码:113
ISSN号	1674-4527
英文摘要	The Five-hundred-meter Aperture Spherical radio Telescope(FAST) has an active reflector.During observations, the reflector will be deformed into a paraboloid 300 meters in diameter. To improve its surface accuracy, we propose a scheme for photogrammetry to measure the positions of 2226 nodes on the reflector. The way to detect the nodes in the photos is the key problem in this application of photogrammetry. This paper applies a convolutional neural network(CNN) with candidate regions to detect the nodes in the photos. Experimental results show a high recognition rate of 91.5%, which is much higher than the recognition rate for traditional edge detection.
资助项目	[study on the fusion of total station dynamic tracking measuring and IMU inertial measuring for the feed support measurement in FAST] ; [Open Project Program of the Key Laboratory of FAST, NAOC, Chinese Academy of Sciences] ; [Key Laboratory of Radio Astronomy, Chinese Academy of Sciences]
语种	英语
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/51318]
专题	中国科学院国家天文台
作者单位	1.中国科学院国家天文台 2.中国科学院大学
推荐引用方式 GB/T 7714	ZhiSong Zhang,LiChun Zhu,Wei Tang,et al. unitpanelnodedetectionbycnnonfastreflector[J]. 天文和天体物理学研究英文版,2019,000(001):113.
APA	ZhiSong Zhang,LiChun Zhu,Wei Tang,&XinYi Li.(2019).unitpanelnodedetectionbycnnonfastreflector.天文和天体物理学研究英文版,000(001),113.
MLA	ZhiSong Zhang,et al."unitpanelnodedetectionbycnnonfastreflector".天文和天体物理学研究英文版 000.001(2019):113.