Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

Research Progress of Fire Detection Based on Remote Sensing

Authors
Shidong Wang, Hebing Zhang
Corresponding Author
Shidong Wang
Available Online August 2012.
DOI
10.2991/iccasm.2012.193How to use a DOI?
Keywords
AVHRR, MODIS, Fire detection, HJ, Remote sensing
Abstract

In this paper, the principle of forest fire detection was discussed firstly, and on the basis, the research progress of forest fire detection based on AVHRR AND MODIS was discussed at home and abroad. In general, the AVHRR and MODIS data are used as the main tools for forest fire detection. In recent years, many scholars developed a variety of forest fire detection algorithms based on AVHRR AND MODIS data that were tested and applied in practice and achieved good results. According to the characteristics of environment and disaster monitoring small satellite, the existing contextual algorithm based on MODIS is improved to adapt to HJ-IRS. The process of improved forest fire detection algorithm includes potential fire spots judgment, absolute fire spots judgment, contextual analysis, relative fire spots judgment and confidence degree of fire spots.

Copyright
© 2012, 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/).

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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.193
ISSN
1951-6851
DOI
10.2991/iccasm.2012.193How to use a DOI?
Copyright
© 2012, 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  - Shidong Wang
AU  - Hebing Zhang
PY  - 2012/08
DA  - 2012/08
TI  - Research Progress of Fire Detection Based on Remote Sensing
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 762
EP  - 766
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.193
DO  - 10.2991/iccasm.2012.193
ID  - Wang2012/08
ER  -