Astronomical Image Superposition Using an New Improved Particle Swarm Optimization

	Astronomical Image Superposition Using an New Improved Particle Swarm Optimization
	Hu, Maokai; Hu, Lei; Wang, Lifan
刊名	2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)
	2016
卷号	0 期号:0 页码:173-178
英文摘要	Lots of interesting transients have been found using image subtraction techniques for decades as well as time-domain astronomy has been redefined through so many synoptic sky surveys. A key procedure before subtraction is the image superposition which should be as precise as pixel-to-pixel. In this paper, we raise a new method utilizing an new improved particle swarm optimization to successfully solve this transformation problem. The results show that our particle swarm optimization model could efficiently obtain solutions and reduce the amount of iteration.
内容类型	期刊论文
源URL	[http://libir.pmo.ac.cn/handle/332002/16863]
专题	紫金山天文台_南极天文中心
推荐引用方式 GB/T 7714	Hu, Maokai,Hu, Lei,Wang, Lifan. Astronomical Image Superposition Using an New Improved Particle Swarm Optimization[J]. 2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD),2016,0(0):173-178.
APA	Hu, Maokai,Hu, Lei,&Wang, Lifan.(2016).Astronomical Image Superposition Using an New Improved Particle Swarm Optimization.2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD),0(0),173-178.
MLA	Hu, Maokai,et al."Astronomical Image Superposition Using an New Improved Particle Swarm Optimization".2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) 0.0(2016):173-178.