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CAS IR Grid
机构
长春光学精密机械与物... [1]
采集方式
OAI收割 [1]
内容类型
会议论文 [1]
发表日期
2007 [1]
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BP neural network application on surface temperature measurement system based on colorimetry (EI CONFERENCE)
会议论文
OAI收割
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China
作者:
Sun Z.-Y.
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提交时间:2013/03/25
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.