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Research on the laboratory radiometric calibration of the thermal imager (EI CONFERENCE) 会议论文  OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China
作者:  
Wang J.;  Liu Y.;  Liu Y.;  Liu Y.;  Sun Q.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
The radiometric calibration of the thermal imager was investigated to build the relationship between the input radiance and the digital output to realize the temperature measurement. The radiometric calibration was implemented in the State Key Laboratory of Applied Optics. A standard black body source was served as radiation source. The response of the thermal imager to the input radiance was tested for different gains. The experimental results show that the average grey level of the output imaging is linear dependence of the input radiance. Because the radiance in the receiving wave range of the thermal imager is linear with the black body's temperature based on Planck's law of radiation  the average grey level of the output image is also linear with the black body's temperature after fitting a curve to the experiment data points. Then the relationship of the response and the gain was studied when the black body's temperature kept constant. The preliminary analysis of calibration data shows that the response of the thermal imager is linear and the average grey value of the image is directly proportion to the gain. According to the experimental results  the reference gains and the dynamic range of temperature measurement were obtained. Finally  the uncertainty influencing the calibration results was analyzed  the analysis shows the maximal uncertainty is 5.2%  which can meet the calibration requirement less than 10%. 2010 Copyright SPIE - The International Society for Optical Engineering.  
Temperature-enhanced ultraviolet emission in ZnO thin film (EI CONFERENCE) 会议论文  OAI收割
Zhang Y. J.; Xu C. S.; Liu Y. C.; Liu Y. X.; Wang G. R.; Fan X. W.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
We have studied the structural and optical properties of ZnO thin films prepared by thermal oxidation of ZnS films deposited by plasma assisted electron-beam evaporation on Si(1 0 0) substrates. The transformation from zinc blende ZnS to hexagonal wurtzite ZnO is confirmed by Raman and X-ray diffraction (XRD) measurement. For the sample thermally oxidized at 600 C for 2 h  a novel UV emission peak Ix located at 3.22 eV (385 nm) has been observed. The temperature-dependent photoluminescence spectra show that the integrated intensity of Ix increases exponentially with increasing temperatures within the measuring temperature range  from 80 to 300 K  but the peak position remains nearly constant. We explain this behavior in terms of electron tunneling into the radiative recombination centers.  
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文  OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.; Ma D.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task  for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type  the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP  but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly  we use frame grabber to capture the 4-bar target image data. Then according to image gray scale  we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets  along with known target visibility  are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm  demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.  
Infrared Thermography for True Temperature Measurement of the Main Board in Personal Computer 期刊论文  OAI收割
JOURNAL OF THERMAL SCIENCE, 2002, 卷号: 11, 期号: 4, 页码: 331,336
Jing Yangl; Masud Behnia2; Graham Morrison2
收藏  |  浏览/下载:34/0  |  提交时间:2013/03/12
Temperature Distributions in Power Series,Visualization and Measurement of a Thermal Wake 期刊论文  OAI收割
JOURNAL OF THERMAL SCIENCE, 1995, 卷号: 4, 期号: 1, 页码: 75,78
Chen Bo Yi; Du Xian Zhi
收藏  |  浏览/下载:9/0  |  提交时间:2013/03/13