利用可见光和红外光谱范围内的地面相机图像确定云覆盖范围

Jeanette Mostafa, T. Kociok, E. Sucher, K. Stein
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引用次数: 1

摘要

在本研究中,将评估天空的地面图像序列以分析云覆盖。这些图像是在可见光和红外光谱中拍摄的。主要目标是在不知道额外测量(如温度或可降水量)的情况下确定云的覆盖范围。云覆盖的确定只能从相机图像中推断出来。在视觉光谱中,根据这一应用扩展了文献中的方法。例如,颜色通道红和蓝的比例形成。在红外光谱范围内,提出了一种利用图像中出现值的最大值和最小值来区分云区和无云区的方法。使用统计边界值对灰色值进行参数化,使温度关系明确可能,因此可以通过算法对覆盖程度进行陈述。在红外光谱范围内,云覆盖的测定具有较高的精度和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of the cloud coverage using ground based camera images in the visible and infrared spectral range
In this study, ground based image sequences of the sky will be evaluated to analyse the cloud coverage. These images are taken in the visual and infrared spectrum. The main ambition is to determine the cloud coverage without the knowledge of additional measurements (like temperature or precipitable water vapor). The determination of the cloud coverage is deduced from camera images only. In the visual spectrum, methods from literature are extended according to this application. For example, the ratio of the color channels red and blue is formed. In the infrared spectral range a method is developed that can distinguish the cloud-covered from the cloudless image areas by using the maximum and minimum occurring values in the image. The grey values are parameterised using statistical boundary values in such a way that a temperature relationship is unambiguously possible and consequently a statement about the degree of coverage can be made by the algorithm. The determination of the cloud coverage reaches a higher accuracy and reliability in the infrared spectral range.
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