Abstract：Smoke detection is very important for preventing forest-fire in the fire early process. Because the traditional technologies based on video and image processing are easily affected by the background dynamic information, three limitations exist in these technologies, i.e. lower anti-interference ability, higher false detection rate and the fire smoke and water fog being not easily distinguished. A novel detection method for detecting smoke based on the multispectral image was proposed in the present paper. Using the multispectral digital imaging technique, the multispectral image series of fire smoke and water fog were obtained in the band scope of 400 to 720 nm, and the images were divided into bins. The Euclidian distance among the bins was taken as a measurement for showing the difference of spectrogram. After obtaining the spectral feature vectors of dynamic region, the regions of fire smoke and water fog were extracted according to the spectrogram feature difference between target and background. The indoor and outdoor experiments show that the smoke detection method based on multispectral image can be applied to the smoke detection, which can effectively distinguish the fire smoke and water fog. Combined with video image processing method, the multispectral image detection method can also be applied to the forest fire surveillance, reducing the false alarm rate in forest fire detection.
卫颖卓，张绍武*，刘彦伟. 基于多光谱图像的烟雾检测[J]. 光谱学与光谱分析, 2010, 30(04): 1061-1064.
WEI Ying-zhuo, ZHANG Shao-wu*, LIU Yan-wei. Detecting Fire Smoke Based on the Multispectral Image. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(04): 1061-1064.
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