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Calculating the electron temperature in the lightning channel by continuous spectrum 被引量:1
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作者 董向成 陈建宏 +1 位作者 魏秀芳 袁萍 《Plasma Science and Technology》 SCIE EI CAS CSCD 2017年第12期57-61,共5页
Based on the theory of plasma continuous radiation, the relationship between the emission intensity of bremsstrahlung and recombination radiation and the plasma electron temperature is obtained. During the development... Based on the theory of plasma continuous radiation, the relationship between the emission intensity of bremsstrahlung and recombination radiation and the plasma electron temperature is obtained. During the development process of a return stroke of ground flash, the intensity of continuous radiation spectrum is separated on the basis of the spectrums with obviously different luminous intensity at two moments. The electron temperature of the lightning discharge channel is obtained through the curve fitting of the continuous spectrum intensity. It is found that electron temperature increases with the increase of wavelength and begins to reduce after the peak. The peak temperature of the two spectra is close to 25 000 K. To be compared with the result of discrete spectrum, the electron temperature is fitted by the O I line and N II line of the spectrum respectively. The comparison shows that the high temperature value is in good agreement with the temperature of the lightning core current channel obtained from the ion line information, and the low temperature at the high band closes to the calculation result of the atomic line, at a low band is lower than the calculation of the atomic line, which reflects the temperature of the luminous channel of the outer corona. 展开更多
关键词 lightning spectrum plasma continuous radiation spectral separation electron temperature
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Hyperspectral Imagery Denoising Using a Spatial-Spectral Domain Mixing Prior 被引量:1
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作者 陈绍林 胡晰远 彭思龙 《Journal of Computer Science & Technology》 SCIE EI CSCD 2012年第4期851-861,共11页
By introducing a novel spatial-spectral domain mixing prior, this paper establishes a Maximum a posteriori (MAP) framework for hyperspectral images (HSIs) denoising. The proposed mixing prior takes advantage of di... By introducing a novel spatial-spectral domain mixing prior, this paper establishes a Maximum a posteriori (MAP) framework for hyperspectral images (HSIs) denoising. The proposed mixing prior takes advantage of different properties of HSI in the spatial and spectral domain. Furthermore, we propose a spatially adaptive weighted prior combining smoothing prior and discontinuity-preserving prior in the spectral domain. The weights can be defined as a function of the spectral discontinuity measure (DM). For minimizing the objective function, a half-quadratic optimization algorithm is used. The experimental results illustrate that our proposed model can get a higher signal-to-noise ratio (SNR) than using only smoothing prior or discontinuity-preserving prior. 展开更多
关键词 hyperspectral image mixing prior spectral continuity image denoising
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