From Pillars to AI Technology-Based Forest Fire Protection Systems

N. Aspragathos, E. Dogkas, P. Konstantinidis, P. Koutmos, Nefeli Lamprinou, V. Moulianitis, G. Paterakis, E. Psarakis, Evangelos Sartinas, K. Souflas, G. Thanellas, G. Tsiourlis, N. Xanthopoulos, P. Xofis
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引用次数: 4

Abstract

The importance of forest environment in the perspective of the biodiversity as well as from the economic resources which forests enclose, is more than evident. Any threat posed to this critical component of the environment should be identified and attacked through the use of the most efficient available technological means. Early warning and immediate response to a fire event are critical in avoiding great environmental damages. Fire risk assessment, reliable detection and localization of fire as well as motion planning, constitute the most vital ingredients of a fire protection system. In this chapter, we review the evolution of the forest fire protection systems and emphasize on open issues and the improvements that can be achieved using artificial intelligence technology. We start our tour from the pillars which were for a long time period, the only possible method to oversee the forest fires. Then, we will proceed to the exploration of early AI systems and will end-up with nowadays systems that might receive multimodal data from satellites, optical and thermal sensors, smart phones and UAVs and use techniques that cover the spectrum from early signal processing algorithms to latest deep learning-based ones to achieving the ultimate goal.
从支柱到基于人工智能技术的森林防火系统
从生物多样性和森林所蕴含的经济资源的角度来看,森林环境的重要性是显而易见的。对环境这一关键组成部分构成的任何威胁都应加以查明,并通过利用现有最有效的技术手段加以对付。火灾事件的早期预警和迅速反应对于避免巨大的环境破坏至关重要。火灾风险评估、可靠的火灾探测和定位以及行动规划是消防系统最重要的组成部分。在本章中,我们回顾了森林消防系统的发展,并强调了开放的问题和使用人工智能技术可以实现的改进。我们从柱子开始参观,在很长一段时间里,这是唯一可以监督森林火灾的方法。然后,我们将继续探索早期的人工智能系统,并最终建立今天的系统,这些系统可能从卫星、光学和热传感器、智能手机和无人机接收多模态数据,并使用涵盖从早期信号处理算法到最新基于深度学习的技术的频谱,以实现最终目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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