基于计算机视觉技术的自然灾害预警系统的发展趋势

ByoungChul Ko, Joon-Young Kwak, June-Hyeok Hong, J. Nam
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引用次数: 4

摘要

本文对基于视觉的自然灾害预警方法进行了综述。由于自然灾害预警在近年来的研究中受到了广泛的关注,因此有必要对近年来发展起来的各种灾害预警技术进行全面的回顾。本文综述了近年来利用计算机视觉和模式识别技术在野火烟雾和火焰探测、防洪水位探测和海岸带监测等四种不同类型自然灾害预警系统方面的研究进展。最后,对今后的研究方向进行了展望。
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Current trend in natural disaster warning systems based on computer vision techniques
In this paper, a review of vision-based natural disaster warning methods is presented. Because natural disaster warning is receiving a lot of attention in recent research, a comprehensive review of various disaster-warning techniques developed in recent years is needed. This paper surveys recent studies on warning systems four different types of natural disaster, i.e., wildfire smoke and flame detection, water level detection for flood prevention, and coastal zone monitoring, using computer vision and pattern-recognition techniques. Finally, we conclude with some thoughts about future research directions.
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