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Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD

Title
Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD
Authors
Kim, HeeKangSong, ChanhoSon, Guk-JinJeong, Seong-HoSon, Jin-HwanKim, Young-Duk
DGIST Authors
Kim, HeeKang; Kim, Young-Duk
Issue Date
2019-07-10
Citation
7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, 974-975
Type
Conference
ISBN
9781538674475
Abstract
Fire detection on roads at night has many limitations in the fire detection technique using ordinary RGB cameras. It has the problem of misinterpretation of flame due to various lighting sources such as vehicle lighting (LED, halogen) and street lamp (LED, fluorescent lamp). Hyperspectral cameras have hundreds of bands that can distinguish light sources based on the spectra of the light source. Therefore, it is possible to distinguish between the light of the flame, the vehicle light on the road, and the light of the roadside tree. In this paper, a method to simulate a fire in an environment with vehicle lighting and streetlight and detect a fire using NKNBD (Normalized K and NIR Band Difference) in hyperspectral camera is discussed. © 2018 IEEE.
URI
http://hdl.handle.net/20.500.11750/9838
DOI
10.1109/IIAI-AAI.2018.00208
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
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Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers


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