Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD

Heekang Kim; Chanho Song; Guk Jin Son; Seong Ho Jeong; Jin Hwan Son; Young Duk Kim

doi:10.1109/IIAI-AAI.2018.00208

Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD

Heekang Kim, Chanho Song, Guk Jin Son, Seong Ho Jeong, Jin Hwan Son, Young Duk Kim

Division of Automotive Technology

Daegu Gyeongbuk Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	974-975
Number of pages	2
ISBN (Electronic)	9781538674475
DOIs	https://doi.org/10.1109/IIAI-AAI.2018.00208
State	Published - 2 Jul 2018
Event	7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 - Yonago, Japan Duration: 8 Jul 2018 → 13 Jul 2018

Publication series

Name	Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018

Conference

Conference	7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
Country/Territory	Japan
City	Yonago
Period	8/07/18 → 13/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Band selection
Fire detection
Hyperspectral image
Multispectral image
Nighttime
Real time

Access to Document

10.1109/IIAI-AAI.2018.00208

Cite this

Kim, H., Song, C., Son, G. J., Jeong, S. H., Son, J. H., & Kim, Y. D. (2018). Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD. In Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 (pp. 974-975). Article 8693392 (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2018.00208

Kim, Heekang ; Song, Chanho ; Son, Guk Jin et al. / Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD. Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 974-975 (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018).

@inproceedings{8b487b02ea6449e0a5e09326a6b657a4,

title = "Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD",

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.",

keywords = "Band selection, Fire detection, Hyperspectral image, Multispectral image, Nighttime, Real time",

author = "Heekang Kim and Chanho Song and Son, {Guk Jin} and Jeong, {Seong Ho} and Son, {Jin Hwan} and Kim, {Young Duk}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 ; Conference date: 08-07-2018 Through 13-07-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/IIAI-AAI.2018.00208",

language = "English",

series = "Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018",

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Kim, H, Song, C, Son, GJ, Jeong, SH, Son, JH & Kim, YD 2018, Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD. in Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018., 8693392, Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 974-975, 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, Yonago, Japan, 8/07/18. https://doi.org/10.1109/IIAI-AAI.2018.00208

Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD. / Kim, Heekang; Song, Chanho; Son, Guk Jin et al.
Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 974-975 8693392 (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD

AU - Kim, Heekang

AU - Song, Chanho

AU - Son, Guk Jin

AU - Jeong, Seong Ho

AU - Son, Jin Hwan

AU - Kim, Young Duk

PY - 2018/7/2

Y1 - 2018/7/2

N2 - 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.

AB - 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.

KW - Band selection

KW - Fire detection

KW - Hyperspectral image

KW - Multispectral image

KW - Nighttime

KW - Real time

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DO - 10.1109/IIAI-AAI.2018.00208

M3 - Conference contribution

AN - SCOPUS:85065167161

T3 - Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018

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BT - Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018

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ER -

Kim H, Song C, Son GJ, Jeong SH, Son JH, Kim YD. Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD. In Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 974-975. 8693392. (Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018). doi: 10.1109/IIAI-AAI.2018.00208

Hyperspectral Image-Based Night-Time Fire Detection Using NKNBD

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Bibliographical note

Keywords

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