Reference materials are used in diffuse reflectance imaging for transforming the digitized camera signal into reflectance and absorbance units for subsequent interpretation. Traditional white and dark reference signals are generally used for calculating reflectance or absorbance, but these can be supplemented with additional reflectance targets to improve the accuracy of reflectance transformations. In this work we provide an overview of hyperspectral image regression and assess the effects of reflectance calibration on image interpretation using partial least squares regression. Linear and quadratic reflectance transformations based on additional reflectance targets decrease average measurement errors and make it easier to estimate model pseudorank during image regression. The lowest measurement and prediction errors were obtained with the column and wavelength specific quadratic transformations which retained the spatial information provided by the line-scanning instrument and reduced errors in the predicted concentration maps.

中文翻译：

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高光谱近红外图像标定与回归

参考材料用于漫反射成像，用于将数字化相机信号转换为反射和吸光度单位，以供后续解释。传统的白色和暗色参考信号通常用于计算反射率或吸光度，但这些信号可以补充额外的反射率目标，以提高反射率转换的准确性。在这项工作中，我们概述了高光谱图像回归，并使用偏最小二乘回归评估了反射校准对图像解释的影响。基于附加反射率目标的线性和二次反射率变换减少了平均测量误差，并使在图像回归期间更容易估计模型伪秩。