本文提出了应用B - P神经网络预测氘灯辐亮度值的新方法。
A new method of prediction on the radiant brightness values of deuterium lamps is proposed using back propagation (b p) neural network.
线性减光系统使积分球出射口的辐亮度从最大值按照10%递减，线性输出10档辐亮度值。
The linear dimming system makes the radiance of the sphere exit portal decrease prorata 10% from the maximum radiance.
并采用了平场域法、利用太阳辐射光谱两种方法对图像进行反射率反演，将辐亮度值反演为绝对反射率值。
Both the Flat-Field method and the method which utilize the solar radiation spectrum are used on reflectance, inversion in order to transform radiant brightness image into reflectance, image.
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