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Image Based Smoke Detection Using Source Separation 被引量:1
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作者 Ouiem Bchir Mohamed Maher Ben Ismail norah asiri 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2019年第3期982-989,共8页
In this paper, we propose an automatic image based smoke detection using source separation. In particular, we assume that the region of interest(smoke region) is a linear combination of smoke and background pixels, an... In this paper, we propose an automatic image based smoke detection using source separation. In particular, we assume that the region of interest(smoke region) is a linear combination of smoke and background pixels, and we estimate the smoke component. More specifically, we extend the linear hyperspectral unmixing techniques to the context of image based smoke detection in order to separate the smoke component from the background. The proposed approach yields promising results especially with smoke images captured outdoor. 展开更多
关键词 PATTERN RECOGNITION COMPUTER SCIENCE HYPERSPECTRAL
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