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Estimation of light source colours for light pollution assessment

机译:评估光源颜色以进行光污染评估

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The concept of the smart city raised several technological and scientific issues including light pollution. There are various negative impacts of light pollution on economy, ecology, and heath. This paper deals with the census of the colour of light emitted by lamps used in a city environment. To this end, we derive a light bulb colour estimator based on Bayesian reasoning, directional data, and image formation model in which the usual concept of reflectance is not used. All choices we made are devoted to designing an algorithm which can be run almost in real-time. Experimental results show the effectiveness of the proposed approach. (C) 2018 Elsevier Ltd. All rights reserved.
机译:智慧城市的概念提出了包括光污染在内的若干技术和科学问题。光污染会对经济,生态和健康产生各种负面影响。本文讨论了在城市环境中使用的灯具发出的光的颜色的普查。为此,我们基于贝叶斯推理,方向数据和图像形成模型(其中未使用通常的反射率概念)得出灯泡颜色估计器。我们做出的所有选择都致力于设计一种几乎可以实时运行的算法。实验结果表明了该方法的有效性。 (C)2018 Elsevier Ltd.保留所有权利。

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