| High-Temperature Target Recognition Based on Spectral Radiation Information |
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| 作者姓名： | Fan Xueliang Cheng Xiaofang Xu Jun |
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| 作者单位： | Department of Thermal Science and Energy Engineering, USTC, Hefei, 230026, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （590（0487） and the Fund for Excellent Young University Teachers of the State Education Commission of China （97035821） |
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| 摘 要： | Based on the principles of optics and radiometry, the imaging mathematical model is established and the factors of the contrast （signal-noise-ratio） of high-temperature target and the scenery are given. By analyzing not only the differences in spectral properties between objects in the scene, but also the CCD spectral response theoretically, a new method of enhancement of contrast is given. By optimizing the initial image capture stage, using liquid crystal light valve to make a simple modification of the imaging system, the goal of high-temperature object recognition is achieved. The experimental results agree with the theoretical predict.
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| 关 键 词： | 高温目标识别 视频图象 光谱辐射信息 液晶光阀 |
| 收稿时间： | 2005-10-18 |
High-Temperature Target Recognition Based on Spectral Radiation Information |
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| Fan Xueliang,Cheng Xiaofang,Xu Jun.High-Temperature Target Recognition Based on Spectral Radiation Information[J].Engineering Sciences,2006,4(1):65-71. |
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| Authors: | Fan Xueliang Cheng Xiaofang and Xu Jun |
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| Institution: | (Department of Thermal Science and Energy Engineering, USTC, Hefei, 230026, China);(Department of Thermal Science and Energy Engineering, USTC, Hefei, 230027, China);(Department of Thermal Science and Energy Engineering, USTC, Hefei, 230028, China) |
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| Abstract: | Based on the principles of optics and radiometry, the imaging mathematical model is established and the factors of the contrast (signal-noise-ratio) of high-temperature target and the scenery are given. By analyzing not only the differences in spectral properties between objects in the scene, but also the CCD spectral response theoretically, a new method of enhancement of contrast is given. By optimizing the initial image capture stage, using liquid crystal light valve to make a simple modification of the imaging system, the goal of high-temperature object recognition is achieved. The experimental results agree with the theoretical predict. |
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| Keywords: | video image object recognition radiation information liquid crystal light valve |
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