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SIRIO: an integrated forest fire monitoring,detection and decision support system -performance and results of the installation in Sanremo (Italy)

机译:SIRIO:集成的森林火灾监测,探测和决策支持系统-在圣雷莫(意大利)的性能和安装结果

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Forest fires in our society cause a lot of damage, in particular regarding the economic and environmental landscape. In order to monitor a large portion of territory automatically, with a good cost/performances trade-off, it is necessary to develop new early warning systems. We propose a ground-based system with modular architecture, equipped with low cost commercial sensor. The idea is to develop the software able to manage forest fire monitoring. The technique is based on static and dynamic analysis of chromatic changes between images, tailored for our case of study in a large scale monitoring of vegetation and using different sensors to reduce or eliminate the false alarm rate. Concerning the image geo-referencing tool, the present work describes an innovative projective geo-referencing algorithm able to geo-reference complex orography regions using fixed ground station images. Besides, it does not need the collection of Ground Control Points, which is a very hard task in complex orography environments. In order to make a user oriented product and to help the operator during extinguishing activities, a decision support tool has been developed as well. This work presents the results of one year monitoring campaign conducted in cooperation with the Civil Protection Offices in Sanremo (IM), Italy.
机译:我们社会的森林大火造成了很大的破坏,特别是在经济和环境方面。为了以良好的成本/性能折衷自动监视大部分地区,有必要开发新的预警系统。我们提出了一种具有模块化架构的地面系统,并配备了低成本的商用传感器。这个想法是开发能够管理森林火灾监控的软件。该技术基于对图像之间色度变化的静态和动态分析,针对我们在大规模植被监测中的研究案例量身定制,并使用不同的传感器来减少或消除虚警率。关于图像地理参考工具,本工作描述了一种创新的投影地理参考算法,该算法能够使用固定的地面站图像对复杂的地形区域进行地理参考。此外,它不需要收集地面控制点,这在复杂的地形环境中是一项非常艰巨的任务。为了制造面向用户的产品并在灭火活动中帮助操作员,还开发了决策支持工具。这项工作介绍了与意大利圣雷莫市(IM)的民防局合作开展的为期一年的监测运动的结果。

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