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Optical Engineering • Open Access

Survey of computer vision-based natural disaster warning systems

Paper Abstract

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.

Paper Details

Date Published: 28 June 2012
PDF: 12 pages
Opt. Eng. 51(7) 070901 doi: 10.1117/1.OE.51.7.070901
Published in: Optical Engineering Volume 51, Issue 7
Show Author Affiliations
ByoungChul Ko, Keimyung Univ. (Korea, Republic of)
Sooyeong Kwak, Hanbat National Univ. (Korea, Republic of)

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