Fire detection and 3D fire propagation estimation for the protection of cultural heritage areas
Author
Dimitropoulos, K.
Köse, Kıvanç
Grammalidis, N.
Çetin, A. Enis
Date
2010Source Title
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Print ISSN
1682-1750
Publisher
Copernicus GmbH
Volume
38
Issue
8
Pages
620 - 625
Language
English
Type
Conference PaperItem Usage Stats
135
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56
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Abstract
Beyond taking precautionary measures to avoid a forest fire, early warning and immediate response to a fire breakout are the only ways to avoid great losses and environmental and cultural heritage damages. To this end, this paper aims to present a computer vision based algorithm for wildfire detection and a 3D fire propagation estimation system. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) smoke-coloured regions, (iii) rising regions, and (iv) shadow regions. After detecting a wildfire, the main focus should be the estimation of its propagation direction and speed. If the model of the vegetation and other important parameters like wind speed, slope, aspect of the ground surface, etc. are known; the propagation of fire can be estimated. This propagation can then be visualized in any 3D-GIS environment that supports KML files.
Keywords
Cultural heritageEstimation
Forest fire
GIS
Monitoring
Multisensor
Simulation
Visualization
Computer vision
Deforestation
Estimation
Fire hazards
Fire protection
Flow visualization
Forestry
Geographic information systems
Monitoring
Object detection
Remote sensing
Wind
Cultural heritages
Forest fires
Multi sensor
Precautionary measures
Propagation direction
Simulation
Slow moving objects
Vision based algorithms
Fires
Algorithms
Forest Fires
GIS