Application of Multispectral Photos in Air Pollutant Detection

Chao-Yang Lee, Huan-Jung Lin, Cheng-Ting Hsu, Ming-Yuan Yeh, Jer Lin
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Abstract

There are many pollutants in the air, among which the dust-like objects floating in the air called suspended Particulate Matter (PM). Based on the diameter of the PM, this study makes a distinction in particle sizes smaller than PM2.5 which is the wildfire smoke and particle sizes between PM10~PM100 which is the floating dust and sand in the air. This study uses a reflection multispectral camera which captures information in five spectral bands. Investigation of the photos reveals that the Rededge and NIR bands easily pass through the finer smoke particles. This study believes that the particle size of air pollutants is the decisive factor whether each spectrum can pass through or reflect.
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多光谱图像在大气污染物检测中的应用
空气中有许多污染物,其中漂浮在空气中的粉尘状物体称为悬浮颗粒物(PM)。根据PM的直径,本研究区分了PM2.5以下的颗粒物是野火烟雾,PM10~PM100是空气中的浮尘和沙粒。本研究使用反射多光谱相机,在五个光谱波段捕捉信息。对这些照片的调查显示,红外波段和近红外波段很容易穿过更细的烟雾颗粒。本研究认为,空气污染物的粒径大小是各光谱能否通过或反射的决定性因素。
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