Survey of computer vision-based natural disaster warning systems

With the rapid development of information technology, natural disaster prevention is growing as a new research field dealing with surveillance systems. To forecast and prevent the damage caused by natural disasters, the development of systems to analyze natural disasters using remote sensing geograp...

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Bibliographic Details
Published in:Optical Engineering 2012-07, Vol.51 (7), p.070901-070901
Main Authors: Ko, ByoungChul, Kwak, Sooyeong
Format: Article
Language:English
Subjects:
coastal zone monitoring
landslide detection
natural disaster
remote sensing
vision sensor
water level detection
wildfire detection
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Summary:With the rapid development of information technology, natural disaster prevention is growing as a new research field dealing with surveillance systems. To forecast and prevent the damage caused by natural disasters, the development of systems to analyze natural disasters using remote sensing geographic information systems (GIS), and vision sensors has been receiving widespread interest over the last decade. This paper provides an up-to-date review of five different types of natural disasters and their corresponding warning systems using computer vision and pattern recognition techniques such as wildfire smoke and flame detection, water level detection for flood prevention, coastal zone monitoring, and landslide detection. Finally, we conclude with some thoughts about future research directions.
ISSN:0091-3286
1560-2303
DOI:10.1117/1.OE.51.7.070901