Survey of computer vision–based natural disaster warning systems

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.Ko and Kwak: Survey of computer vision-based natural disaster warning systems Optical Engineering 070901-11 July 2012/Vol. 51 (7) Ko and Kwak: Survey of computer vision-based natural disaster warning systems

Forest Fire Detection Using a Rule-Based Image Processing Algorithm and Temporal Variation

“…where is a constant, specified in [10] using receiver operating characteristic (ROC), by applying different values of in the range [1,100]. To measure the "true detection rate" and "false detection," data sets consisting of 500 images (300 of them being images of a forest fire, 200 nonfire images) collected from Internet were used.…”

“…Forest fire detection systems are gaining a lot of attention because of the continual threat from fire to both economic properties and public safety [1]. Hundreds of millions of hectares are destroyed by wildfires each year [2] and over 200,000 forest fires happen every year in the world.…”

“…Forest fires destroy a total area of 3.5 to 4.5 million km2 [3]. Increase in forest fires in forest areas around the world has resulted in an increased motivation for developing fire warning systems for the early detection of wildfires [1]. Sensor technology has been widely used in fire detection, usually depending on sensing physical parameters such as changes in pressure, humidity, and temperature, as well as chemical parameters such as carbon dioxide, carbon monoxide, and nitrogen dioxide.…”

Developing an open geographic data model and analysis tools for disaster management: landslide case

“…HEY.H.05 activity determines locations for the disaster warning system. These outputs are used in the activities of the response phase (Bittencourt et al, 2013;Venkatesan et al, 2013;Ko and Kwak, 2012).…”

Vision-based displacement measurement sensor using modified Taylor approximation approach

“…Recently, vision-based techniques were successfully used to measure various structures and get satisfactory results. [15][16][17][18][19][20][21][22][23][24] Quan et al 25 achieved three-dimensional displacement measurement based on two-dimensional (2-D) digital image correlation (DIC). Kim et al 26 proposed a vision-based monitoring system that uses DIC to evaluate the cable tensile force of a cable-stayed bridge.…”