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Proceedings Paper

BP neural network application on surface temperature measurement system based on colorimetry
Author(s): Zhi-yuan Sun; Sheng Cai; Yan-feng Qiao; Wei Zhu
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Paper Abstract

Measurement of the features of infrared radiation is very important for the precaution and discrimination of missiles, and relevant research is worthy in military application. The measurement of target's surface temperature is the foundation of infrared radiation characteristics measurement. The principle and configuration of target's surface temperature measurement system based on colorimetry is introduced, the measurement model is deduced and the processes of temperature measurement are presented. Least-square method and back-propagation neural network method are both used to deal with the demarcating data. Compared with the least-square method, Back-propagation neural network has more advantages, such as high precision, good applicability and so on.

Paper Details

Date Published: 27 November 2007
PDF: 5 pages
Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 672326 (27 November 2007); doi: 10.1117/12.783220
Show Author Affiliations
Zhi-yuan Sun, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of the Chinese Academy of Sciences (China)
Sheng Cai, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of the Chinese Academy of Sciences (China)
Yan-feng Qiao, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Wei Zhu, Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 6723:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Junhua Pan; James C. Wyant; Hexin Wang, Editor(s)

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