Yuhaniz, Siti and Vladimirova, Tanya and Gleason, Scott (2007) An intelligent decision-making system for flood monitoring from space. 2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security . pp. 65-71. ISSN 0-7695-2919-4
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This paper presents the results of a feasibility study on intelligent image processing and decision-making for flood monitoring on board satellites. The ability to detect temporal changes in images is one of the most important functions in intelligent image processing systems for hazard and disaster monitoring applications. An automatic change detection system is proposed, the purpose of which is to monitor particular areas on Earth and give warnings to the authorities if any flooding events are detected. A novel solution to flood detection based on combined use of optical multispectral imagery and GPS reflectometry data is introduced. A fuzzy inference engine is used in the decision-making process, which generates control signals to other subsystems on board the satellite.
|Uncontrolled Keywords:||Global positioning system, disasters, floods, fuzzy reasoning, image processing, monitoring, public administration|
|Subjects:||Q Science > Q Science (General)|
|Divisions:||Computer Science and Information System (Formerly known)|
|Deposited By:||Dr Siti Sophiayati Yuhaniz|
|Deposited On:||14 Aug 2008 03:31|
|Last Modified:||14 Aug 2008 03:31|
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