用摄影方法评价光污染

C. Galatanu
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引用次数: 3

摘要

光污染是很早以前就有报道的现象,但专家的反应仍然是温和的。有一些具体规定的尝试。使用摄影工具可能是一种解决方案,特别是因为可以实现照明场的全局测量。本文的目的是在定性评估和定量评估的基础上,证实一项公众意识到这一现象的工作。从有足够定量信息的夜间摄影转向光污染评估(甚至没有可操作的定义)是另一个重要目标。这不仅是关于街道照明(有一个具体效率的描述),也适用于建筑照明和广告。作者所寻求的结果是找到一种方法来更好地观察光污染的早期形式,并及时报告严重情况或现象的夸大程度。该方法基于低空航空摄影,并对数据进行处理,以区分有用的光(街道上、立面上等)和光污染。计算在不同高度接收到的全局光场,就有可能识别出污染,甚至污染的来源。在另一种情况下,没有反馈机制对光污染的负面影响进行自我限制。这可能是对照明系统设计的主要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Light pollution assessment using photographical methods
Light pollution is a phenomenon that has been reported since a long time, but the specialist's reaction is still modest. There are some attempts for specific regulations. Using photographic tools can be a solution, especially because of the possibilities to achieve global measurements of the lighting field. The purpose of this paper is to substantiate a work in which the general public aware of the phenomenon, based on qualitative evaluations and quantitative assessments. Moving from photography at night, for which there are sufficient quantitative information, towards the assessing of light pollution (not even benefit from an operational definition) is another important goal. And this is not only about street lighting (for which there is a description of the specific efficiency) but also for architectural lighting and advertising. The outcome sought by the author is finding a way to better observe early forms of light pollution and also to promptly report the serious situations or the exaggerate levels of the phenomenon. The method is based on low level aerial photography, and data processing to make the difference between useful light (on the street, on the facades etc.) and light pollution. Computing the global fields of light, received at different altitudes, it is possible to identify the pollution, even the source of it. In other case, there is no feedback mechanism to perform the self-limitation of the negative effects of light pollution. This could represent a main contribution to the designing of lighting systems.
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