Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

An Automatic Identification Algorithm of Forest Fire Based on Visible Light?

Authors
Aijun Xu1, Luming FANG, Zile TANG
1National Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China, 430079
Corresponding Author
Aijun Xu
Available Online October 2007.
DOI
10.2991/iske.2007.142How to use a DOI?
Keywords
visible light; forest fire; fire identification, median filter
Abstract

In RGB space, the paper optimizes the algorithm of median filter. Not only it could keep its original filter capability, but also it makes the quantity of algorithm decrease greatly. The paper puts forward a standard to identify fire based on the fire edge wobbling-sharp features standard. There are two key problems in the sharp features standard: identification of sharp features and how to identify the threshold of sharp wobbling. And the paper evaluates the algorithm of fire identification with the recall ratio and the precision ratio.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
10.2991/iske.2007.142How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Aijun Xu
AU  - Luming FANG
AU  - Zile TANG
PY  - 2007/10
DA  - 2007/10
TI  - An Automatic Identification Algorithm of Forest Fire Based on Visible Light?
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 832
EP  - 836
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.142
DO  - 10.2991/iske.2007.142
ID  - Xu2007/10
ER  -