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CAS IR Grid
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长春光学精密机械与物... [1]
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OAI收割 [1]
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会议论文 [1]
发表日期
2009 [1]
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Space camera focusing forecast based on RBF network (EI CONFERENCE)
会议论文
OAI收割
Computational Intelligence and Intelligent Systems: 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009. Proceedings, Tiergartenstrasse 17, Heidelberg, D-69121, Germany
作者:
Liu J.
;
Yu D.
;
Yu D.
;
Liu J.
;
Liu J.
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提交时间:2013/03/25
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.