Multisensor network system for wildfire detection using infrared image processing.
ScientificWorldJournal
; 2013: 402196, 2013.
Article
em En
| MEDLINE
| ID: mdl-23843734
ABSTRACT
This paper presents the next step in the evolution of multi-sensor wireless network systems in the early automatic detection of forest fires. This network allows remote monitoring of each of the locations as well as communication between each of the sensors and with the control stations. The result is an increased coverage area, with quicker and safer responses. To determine the presence of a forest wildfire, the system employs decision fusion in thermal imaging, which can exploit various expected characteristics of a real fire, including short-term persistence and long-term increases over time. Results from testing in the laboratory and in a real environment are presented to authenticate and verify the accuracy of the operation of the proposed system. The system performance is gauged by the number of alarms and the time to the first alarm (corresponding to a real fire), for different probability of false alarm (PFA). The necessity of including decision fusion is thereby demonstrated.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Transdutores
/
Redes de Comunicação de Computadores
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Interpretação de Imagem Assistida por Computador
/
Termografia
/
Monitoramento Ambiental
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Tecnologia sem Fio
/
Incêndios
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
ScientificWorldJournal
Assunto da revista:
MEDICINA
Ano de publicação:
2013
Tipo de documento:
Article
País de afiliação:
Espanha