中国科学院机构知识库网格系统: Space camera focusing forecast based on RBF network (EI CONFERENCE)

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

Space camera focusing forecast based on RBF network (EI CONFERENCE)

文献类型：会议论文


作者	Liu J.; Yu D.; Yu D.; Liu J.; Liu J.
出版日期	2009
会议名称	Computational Intelligence and Intelligent Systems: 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009. Proceedings
会议地点	Tiergartenstrasse 17, Heidelberg, D-69121, Germany
关键词	As circumstance temperature of space camera changes flex of structural components and distortion of optical components lead to change of focal length and image quality. Radial Basis Function (RBF) network is used to approximate the complex nonlinear relation between focalization quantity image quality temperature level and axial temperature difference of space camera. After the RBF Network is trained with thermo-optical experiment data temperature level and axial temperature difference could be input to the network to obtain colder value of best image position. In this way focusing forecast under different temperatures can be realized. Results of focusing forecast experiment validate this method. 2009 Springer-Verlag Berlin Heidelberg.
页码	199-206
收录类别	EI
源URL	[http://ir.ciomp.ac.cn/handle/181722/33111]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Liu J.,Yu D.,Yu D.,et al. Space camera focusing forecast based on RBF network (EI CONFERENCE)[C]. 见:Computational Intelligence and Intelligent Systems: 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009. Proceedings. Tiergartenstrasse 17, Heidelberg, D-69121, Germany.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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