Early Forest Fire Identification Algorithm of Infrared Thermal Imager

Xing Wei Li; Yu Fei Zhou; Xiao Chuang Li; Zhen Shi Wang; Ze Peng Wu

doi:10.4028/www.scientific.net/AMR.610-613.3323

Paper Titles

Research on Ecological Function and Value of Song Shan Forest Park
p.3304

Study of Forests on Offsetting Carbon Emissions from Energy Consumption in Tianjin, China
p.3308

Study on the Establishment Techniques for Dwarf Broussonetia papyrifera Fodder Forest
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Environment Pressure and Countermeasures of the Development of the Natural Medicine Source Plants
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Early Forest Fire Identification Algorithm of Infrared Thermal Imager
p.3323

Carbon Accounting and Evaluation for Natural and Planted Forest Stands in South China
p.3328

Floristic Characteristics of the Zonal Vegetation in Guangzhou and the Implications for Urban Greening
p.3332

The Analysis and Mathematical Model of Sustainable Development Tactics of Regional Forest Resources
p.3338

Spatiotemporal Heterogeneity in SWC in a Pinus koraiensis-Dominated Broadleaved Mixed Forest Gap in Xiao Xinganling’ Mountains, China
p.3342

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 610-613Early Forest Fire Identification Algorithm of...

Early Forest Fire Identification Algorithm of Infrared Thermal Imager

Abstract:

Forest fire identification by infrared thermal imager has beening a new research trend. However, currently the most algorithms of forest fire identification are usually designed based on the process designer’s experiences. Unfortunately, few researches on the efficiency of those algorithms have been developed when they were used to identify field forest fire. The response of inchoate forest fire identification algorithm by infrared thermal imager was investigated in this study according to different field testing times and scales. The results show that compare means appears more stability when using it to detect fire within it eliminates most interferences but also meets the requirement of long-space detecting, compared to other two methods.

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Periodical:

Advanced Materials Research (Volumes 610-613)

Pages:

3323-3327

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.610-613.3323

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Online since:

December 2012

Authors:

Xing Wei Li, Yu Fei Zhou, Xiao Chuang Li, Zhen Shi Wang, Ze Peng Wu

Keywords:

Algorithm (GA), Forest Fire Identification, Infrared Thermal Imager

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