文章基本信息

标题：Design and Development of Forest Fire Management System
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作者：S. Sridhar ; Annam Zulfigar ; Paramathma Senguttuvan 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2011
卷号：2
期号：4
页码：73
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Forest fire is one of those natural disasters that have been causing huge destruction in terms of loss ofvegetation, animals and hence affects the economy. Image segmentation techniques have been applied onsatellite images of forest fire to extract fire object and some data mining techniques have been used forpredicting the spread of forest fire. This paper proposes a novel approach to isolation of fire region usingtime-sequenced images, classifying fire images from non-fire images, predicting its movement andestimating the area burnt. Once the images are enhanced, the fire region is segmented out. Featureextraction provides the necessary inputs for classification of images as fire and non-fire images. Linearregression is used to predict the movement of forest fire to facilitate better evacuation strategy. Burnt areais calculated from the difference image. This work is helpful in drafting evacuation strategies quickly bypredicting the movement of forest fire and facilitates the kick-off of rehabilitation activities by identifyingand assessing the burnt area.
关键词：Forest fire management; Image segmentation; Classification; Forest fire movement prediction; Burnt area;calculation