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基于小波神经网络的多光谱发射率模型的研究 被引量:1

Study of Multispectral Emissivity Model Based on Wavelet Network
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摘要 发射率在多光谱辐射温度计的数据处理中有着至关重要的作用,但由于受到多种因素的影响而很难准确得到。本文基于小波网络,将小波网络与多光谱理论相结合建立了发射率模型,其仿真结果与理想假设值符合得很好,是一种较好的获知目标发射率的方法。 Emissivity is very important in the data processing of a multispectral thermometer, but it is very difficult to be obtained because of the influence of various factors. In this paper, an emissivity model based on wavelet network is established by combining the wavelet network with the multispectral theory. The simulation result of the method is in good agreement with the hypothesis. The test result has shown that this method is a good method for obtaining the emissivity of objects.
出处 《红外》 CAS 2006年第12期20-22,共3页 Infrared
关键词 发射率 小波网络 多光谱理论 emissivity wavelet network multi-wavelength radiation-thermome
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参考文献5

  • 1孙晓刚,李成伟,戴景民,褚载祥.多光谱辐射测温理论综述[J].计量学报,2002,23(4):248-250. 被引量:24
  • 2Yang Chunlin.A new method for constructing spectra emissivity models for measuring thereal temperature of tagets.Proceedings of the 20th IEEE IMTC[C].Vail Colrada:IEEE Ⅰ & Msociety,401-404.
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