Spectral identification of lighting type and character.
Spectral identification of lighting type and character.
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DOI：
10.3390/s100403961
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Baugh KE
中科院分区：
文献类型：
--
作者：
Elvidge CD;Keith DM;Tuttle BT;Baugh KE
我们研究了用于识别照明类型的最佳光谱波段和用于测量照明效率或特性的四个主要指标的估计。为了实现这些目标，我们收集了43种不同灯具的高分辨率发射光谱（350至2,500 nm），其中包括全球使用的9种主要类型的灯具。窄带发射光谱被用来模拟八个光谱带的辐射，包括人眼感光带（明视，暗视，和“meltopic”）加上五个光谱带在可见光和近红外模拟的Landsat专题制图仪（TM）上飞行的波段。高分辨率连续光谱在识别照明类型方面上级宽波段组合，是计算辐射光效（LER）、相关色温（CCT）和显色指数（CRI）的标准。考虑到建造和飞行高光谱传感器的高成本，其检测限低到足以观察夜间灯光，我们得出结论，飞行具有有限数量的可见光至近红外宽光谱带的仪器将更加可行。在这些测试中，最好的一组宽光谱波段是蓝色、绿色、红色和近红外波段，这些波段是根据陆地卫星专题制图仪上的波段组模拟的。当与所测试的其他宽带集合相比时，该集合提供了关于照明类型的识别的低误差以及LER和CCT的合理估计。没有一个测试的宽带集可以合理估计光效（LE）或CRI。证明明视觉带对于LER的估计是有用的。然而，这三个感光带的照明类型的识别表现不佳相比，建模的陆地卫星专题制图仪的频带。我们的结论是，它是可行的，以确定照明类型，并作出合理的估计LER和CCT使用四个或更多的光谱带与最小的光谱重叠跨越0.4至1.0微米的区域。
We investigated the optimal spectral bands for the identification of lighting types and the estimation of four major indices used to measure the efficiency or character of lighting. To accomplish these objectives we collected high-resolution emission spectra (350 to 2,500 nm) for forty-three different lamps, encompassing nine of the major types of lamps used worldwide. The narrow band emission spectra were used to simulate radiances in eight spectral bands including the human eye photoreceptor bands (photopic, scotopic, and “meltopic”) plus five spectral bands in the visible and near-infrared modeled on bands flown on the Landsat Thematic Mapper (TM). The high-resolution continuous spectra are superior to the broad band combinations for the identification of lighting type and are the standard for calculation of Luminous Efficacy of Radiation (LER), Correlated Color Temperature (CCT) and Color Rendering Index (CRI). Given the high cost that would be associated with building and flying a hyperspectral sensor with detection limits low enough to observe nighttime lights we conclude that it would be more feasible to fly an instrument with a limited number of broad spectral bands in the visible to near infrared. The best set of broad spectral bands among those tested is blue, green, red and NIR bands modeled on the band set flown on the Landsat Thematic Mapper. This set provides low errors on the identification of lighting types and reasonable estimates of LER and CCT when compared to the other broad band set tested. None of the broad band sets tested could make reasonable estimates of Luminous Efficacy (LE) or CRI. The photopic band proved useful for the estimation of LER. However, the three photoreceptor bands performed poorly in the identification of lighting types when compared to the bands modeled on the Landsat Thematic Mapper. Our conclusion is that it is feasible to identify lighting type and make reasonable estimates of LER and CCT using four or more spectral bands with minimal spectral overlap spanning the 0.4 to 1.0 um region.
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影响因子：
5.8
作者：
MILTON, NM
通讯作者：
MILTON, NM
DOI：
10.1046/j.1365-8711.2001.04882.x
发表时间：
2001-12-11
影响因子：
4.8
作者：
Cinzano, P;Falchi, F;Elvidge, CD
通讯作者：
Elvidge, CD
影响因子：
4.4
作者：
Elvidge, Christopher D.;Sutton, Paul C.;Bright, Edward
通讯作者：
Bright, Edward
DOI：
10.1073/pnas.95.1.340
发表时间：
1998-01-06
影响因子：
11.1
作者：
Provencio, I;Jiang, GS;Rollag, MD
通讯作者：
Rollag, MD
DOI：
10.3390/s7091962
发表时间：
2007-09-21
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Elvidge CD;Tuttle BT;Sutton PC;Baugh KE;Howard AT;Milesi C;Bhaduri B;Nemani R
通讯作者：
Nemani R