红外热成像仪早期林火识别算法研究

林业资源管理 ›› 2012, Vol. 0 ›› Issue (5): 119-124.

红外热成像仪早期林火识别算法研究

周宇飞, 李兴伟, 王振师, 李小川, 吴泽鹏

广东省林业科学研究院,广州 510520

收稿日期:2012-07-21 修回日期:2012-09-17 出版日期:2012-10-28 发布日期:2020-11-27
作者简介:周宇飞(1980-),男,湖南吉首人,助理研究员,博士,从事森林防火、地理信息系统科研工作。Email: ttzyftt@163.com
基金资助:
广东省林业科技创新专项资金项目(2010KJCX020,2011KJCX030)

The Research on Algorithm for Identifying Early Forest Fire of Infrared Thermal Imager

ZHOU Yufei, LI Xingwei, WANG Zhenshi, LI Xiaochuan, WU Zepeng

Guangdong Academy of Forestry,Guangzhou,510520,China

Received:2012-07-21 Revised:2012-09-17 Online:2012-10-28 Published:2020-11-27

摘要/Abstract

摘要： 比较了3种不同的红外热成像仪林火识别算法,提出了配置林火自动识别算法参数的林火野外测试方法,并利用该方法在珠海进行了测试实验。通过测试实验发现红外热成像仪在夜间分辨火点能力高于白天。3种林火识别算法比较结果为:阈值判定法具有较高灵敏性,但易受干扰;邻域阈值判定法抗干扰能力有所增强,但监测距离会有所缩短;均值对比判定法抗干扰能力较强,但监测距离最短。

关键词: 红外热成像仪, 林火识别算法, 林火监测

Abstract: Three kinds of algorithm were compared for identifying forest fire through infrared thermal imager,the testing method of configuring the algorithm parameters was put forward,and an experiment was made to test this method in Zhuhai.The experiment showed that infrared thermal imager always has higher ability to identify the fire sparks at night than in the daytime.The result of comparing three algorithms that threshold decision method has relatively higher sensitivity but lower anti-interference ability,neighborhood threshold decision method has higher ability of anti-interference but shorter monitoring distance and the average comparison decision method has highest ability of anti-interference but shortest monitoring distance.

Key words: infrared thermal imager, algorithm for identifying forest fire, fire monitoring

中图分类号:

S762.32

周宇飞, 李兴伟, 王振师, 李小川, 吴泽鹏. 红外热成像仪早期林火识别算法研究[J]. 林业资源管理, 2012, 0(5): 119-124.

ZHOU Yufei, LI Xingwei, WANG Zhenshi, LI Xiaochuan, WU Zepeng. The Research on Algorithm for Identifying Early Forest Fire of Infrared Thermal Imager[J]. FOREST RESOURCES WANAGEMENT, 2012, 0(5): 119-124.

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