Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Analysis of Spectral Characteristics for Forest Fire Images Based on Fourier Transform

Authors
Zhijian Yin, Qiang Luo, Tiantian Tang, Zhaopan Wu
Corresponding Author
Zhijian Yin
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.43How to use a DOI?
Keywords
Forest Fire; Fourier Transform; Frequency Domain; Energy Distribution
Abstract
With the continuous development of the national economy, people pay more and more attention to the monitoring and early warning of forest fire. Due to the particularity of the forest area and geographical conditions, if the forest fire happens, it will be a bursty and destruction of natural disaster. As forest fires identification problem research, the research based on image to identify forest fire has become the main research direction. By using the spectrum characteristics of the Fourier transform to research the forest fire image, the paper analyzes it in the frequency domain of the image by using histogram equalization and smoke spectrum. This paper finally analyzes the energy distribution of fire image, which paves the way for the further study of forest fire recognition.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.43How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhijian Yin
AU  - Qiang Luo
AU  - Tiantian Tang
AU  - Zhaopan Wu
PY  - 2016/10
DA  - 2016/10
TI  - Analysis of Spectral Characteristics for Forest Fire Images Based on Fourier Transform
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 341
EP  - 347
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.43
DO  - https://doi.org/10.2991/ceie-16.2017.43
ID  - Yin2016/10
ER  -