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森林火灾的发生,将造成生态环境的严重破坏和人民生命财产安全的巨大损失,影响社会稳定和经济发展。为了确保在处置森林火灾时反应及时,最大限度地减少火灾损失,尽早地检测火警成为森林安防领域的当务之急。本文介绍了一套地面遥感森林火灾智能预警系统,该系统创新地将多光谱感知技术与基于深度学习的物体识别技术相结合,充分考虑了物体发射率的不同,实现了火警的智能精确检测和精准定位。
The occurrence of forest fires will cause serious damage to the ecological environment and great loss of human lives and property, affecting social stability and economic development. In order to ensure prompt response in the event of a forest fire and to minimize the loss of fire, early detection of fire has become a top priority in the field of forest security. This paper introduces a set of intelligent early-warning system of forest fires on the ground remote sensing. The system innovatively combines multispectral sensing technology and object recognition technology based on depth learning, taking full account of the different emissivity of objects and realizing intelligent accurate detection of fire and Precise positioning.