Analysis of Spectral Characteristics for Forest Fire Images Based on Fourier Transform
Zhijian Yin, Qiang Luo, Tiantian Tang, Zhaopan Wu
Available Online October 2016.
- https://doi.org/10.2991/ceie-16.2017.43How to use a DOI?
- Forest Fire; Fourier Transform; Frequency Domain; Energy Distribution
- 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.
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 -