López-Alvarez Miguel A, Hernández-Andrés Javier, Romero Javier, Olmo F J, Cazorla A, Alados-Arboledas L
Hewlett-Packard Spain, Large Format Printing Division, Sant Cugat del Vallès, Barcelona, Spain.
Appl Opt. 2008 Dec 1;47(34):H31-8. doi: 10.1364/ao.47.000h31.
In a previous work [J. Opt. Soc. Am. A 24, 942-956 (2007)] we showed how to design an optimum multispectral system aimed at spectral recovery of skylight. Since high-resolution multispectral images of skylight could be interesting for many scientific disciplines, here we also propose a nonoptimum but much cheaper and faster approach to achieve this goal by using a trichromatic RGB charge-coupled device (CCD) digital camera. The camera is attached to a fish-eye lens, hence permitting us to obtain a spectrum of every point of the skydome corresponding to each pixel of the image. In this work we show how to apply multispectral techniques to the sensors' responses of a common trichromatic camera in order to obtain skylight spectra from them. This spectral information is accurate enough to estimate experimental values of some climate parameters or to be used in algorithms for automatic cloud detection, among many other possible scientific applications.
在之前的一项工作中[《美国光学学会志A》24, 942 - 956 (2007)]，我们展示了如何设计一个旨在恢复天光光谱的最佳多光谱系统。由于高分辨率的天光多光谱图像对许多科学学科可能都很有意义，在此我们还提出一种非最佳但成本低得多且速度更快的方法，通过使用三色RGB电荷耦合器件(CCD)数码相机来实现这一目标。相机连接到一个鱼眼镜头上，从而使我们能够获取与图像每个像素对应的天空穹顶每个点的光谱。在这项工作中，我们展示了如何将多光谱技术应用于普通三色相机的传感器响应，以便从中获取天光光谱。这种光谱信息足够精确，可用于估计一些气候参数的实验值，或用于自动云检测算法等许多其他可能的科学应用中。
