
基于光谱辐射信息的高温目标图像识别
范学良、程晓舫、许军
High-Temperature Target Recognition Based on Spectral Radiation Information
Fan Xueliang、 Cheng Xiaofang、 Xu Jun
利用光学及辐射度学的基本原理,对成像过程进行理论分析,建立了照明条件下识别视场中高温目标的数学模型,揭示了影响识别效果的各物理因素。通过对这些物理因素进行分析,指出“切割波段”可有效提高信噪比,将高温目标识别出来,并通过液晶光阀予以技术实现。实验结果验证了该方案的可行性及有效性。
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 object recognition is achieved. The experimental results agree with the theoretical predicts.
video image / object recognition / radiation information / liquid crystal light valve
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