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作 者:苏航 杨钢[1] SU Hang;YANG Gang(Institution of Achitecture. Harbin Institute of Technology,Harbin 150000, China)
机构地区:[1]哈尔滨工业大学建筑学院,黑龙江哈尔滨150000
出 处:《照明工程学报》2021年第2期135-141,150,共8页China Illuminating Engineering Journal
摘 要:本文提出一种识别天空类型的新方法。本方法基于分类树程序实现CIE天空种类的识别。分类树方法具有计算速度快、准确性高的特点,适用于对不具有明显特征的大量数据集进行分类,善于处理多维度输出的分类问题。提取15个与天空分布特征相关的特定位置天空的亮度点,通过亮度点间存在的相关变量建立分类树模型,最终获得可实时识别实际天空所属的CIE天空种类的分类树程序。其特点为测点数量少、测量难度低、准确率高、可实时同步输出结果。经实验验证,全年范围内三类天空(阴天空、云天空、晴天空)分类准确率可达70.03%,15种CIE天空(1~15)的分类准确率可达60.12%。This paper proposes a new approach of identifying the sky types based on the classification tree algorithm.The algorithm has the characteristics of fast calculation speed and high accuracy,which is suitable for the classification of a large number of data sets without obvious characteristics,and it is good at processing the classification problem of multi-dimensional output.In this paper,luminance of 15 sky points related to the sky distribution were extracted.A classification tree model was established based on the relevant variables between the luminance points,and finally a classification tree program was obtained that could identify the CIE sky species of the instant sky.The results show that the classification accuracy of three types of sky(overcast,cloudy and clear sky)is up to 70.03%,and that of 15 CIE skies(1~15)is up to 60.12%.
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