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An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection
May/June 2000 (vol. 15 no. 3)
pp. 64-73
ASCII Text
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Begoña C. Arrue, Aníbal Ollero, J. Ramiro Martinez de Dios, "An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection," IEEE Intelligent Systems, vol. 15, no. 3, pp. 64-73, May/June, 2000.
 
 
BibTex
x
 
@article{ 10.1109/5254.846287,
author = {Begoña C. Arrue and Aníbal Ollero and J. Ramiro Martinez de Dios},
title = {An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection},
journal ={IEEE Intelligent Systems},
volume = {15},
number = {3},
issn = {1094-7167},
year = {2000},
pages = {64-73},
doi = {http://doi.ieeecomputersociety.org/10.1109/5254.846287},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection
IS - 3
SN - 1094-7167
SP64
EP73
EPD - 64-73
A1 - Begoña C. Arrue,
A1 - Aníbal Ollero,
A1 - J. Ramiro Martinez de Dios,
PY - 2000
KW - Pattern recognition
KW - image processing
KW - fuzzy logic
KW - neural networks
KW - tele-detection
KW - infrared technology
KW - and environment protection.
VL - 15
JA - IEEE Intelligent Systems
ER -
 
This paper presents a system that combines computer vision tools, neural networks and expert fuzzy rules for the detection of forest fires in open areas. The techniques applied are based on image processing, visual-infrared images matching, memory of previous events, meteorological and geographical information, motion, size and location. The proposed system improves the reliability of infrared detection by eliminating a large number of false alarms. The paper includes real experiments carried out in forest scenarios. The paper also includes the results of the validation of the system, which took place in the scenario of the Reserve Park of "Los Alcornocales" (Alcal? de los Gazules, C?diz, Spain) during summer of 1998. The software development and implementation of the system have been carried out as a part of the DEDICS project, funded by the European Commission in the Telematics Application Program.
Index Terms:
Pattern recognition, image processing, fuzzy logic, neural networks, tele-detection, infrared technology, and environment protection.
Citation:
Begoña C. Arrue, Aníbal Ollero, J. Ramiro Martinez de Dios, "An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection," IEEE Intelligent Systems, vol. 15, no. 3, pp. 64-73, May-June 2000, doi:10.1109/5254.846287
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