论文标题
高斯过滤器与阶梯过滤器的优缺点，以进行光污染监测
Pros and cons of gaussian filters versus step filters for light pollution monitoring
论文作者
论文摘要
关于目前应使用哪些指标来监视人造光污染水平的争论。为了最有价值，方法需要对光散发的光谱组成的变化敏感（这些变化正在迅速变化，尤其是通过增加发光二极管的使用[LED]灯），才能随时可用，以便能够在大型空间尺度上使用和快速部署。目前，两组光度法系统是世界上最多的，即基于典型的高斯过滤器和RGB步骤过滤器的DSLR摄像机的RGB颜色。第一组过滤器对于人类的感知和计算大多数最流行的环境影响是最佳的，尽管这些环境影响中的某些影响更好地以阶跃过滤器为特征。
There is debate about which indicators should currently be used to monitor levels of artificial light pollution. To be most valuable, methods need to be sensitive to variation in the spectral composition of light emissions (which are changing rapidly, particularly through increasing use of light-emitting diode [LED] lamps), to be readily available, to be capable of being used on a large spatial scale and of being deployed rapidly. Two sets of photometric systems are the most spread in the world currently, the RGB colors from DSLR cameras that are based on typical gaussian filters and RGB step filters. The first set of filters are optimum for human perception and calculation of most of the most popular environmental impacts although, some of these environmental impacts are better characterized by the step filters.
