PMO OpenIR  > 南极天文中心
Astronomical Image Superposition Using an New Improved Particle Swarm Optimization
Hu, Maokai; Hu, Lei; Wang, Lifan
2016
发表期刊2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)
卷号0期号:0页码:173-178
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.
文献类型期刊论文
条目标识符http://libir.pmo.ac.cn/handle/332002/16863
专题南极天文中心
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Hu, Maokai]的文章
[Hu, Lei]的文章
[Wang, Lifan]的文章
百度学术
百度学术中相似的文章
[Hu, Maokai]的文章
[Hu, Lei]的文章
[Wang, Lifan]的文章
必应学术
必应学术中相似的文章
[Hu, Maokai]的文章
[Hu, Lei]的文章
[Wang, Lifan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。