An intelligent decision-making system for flood monitoring from space

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...

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Main Authors: Yuhaniz, Siti, Vladimirova, Tanya, Gleason, Scott
Format: Article
Language:English
Published: IEEE 2007
Subjects:
Online Access:http://eprints.utm.my/6181/
http://eprints.utm.my/6181/1/SYuhaniz2007_Anintelligentdecisionmakingsystem.pdf
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author Yuhaniz, Siti
Vladimirova, Tanya
Gleason, Scott
author_facet Yuhaniz, Siti
Vladimirova, Tanya
Gleason, Scott
author_sort Yuhaniz, Siti
building UTeM Institutional Repository
collection Online Access
description 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.
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spelling utm-61812017-04-25T06:38:27Z http://eprints.utm.my/6181/ An intelligent decision-making system for flood monitoring from space Yuhaniz, Siti Vladimirova, Tanya Gleason, Scott Q Science (General) 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. IEEE 2007-08-09 Article PeerReviewed application/pdf en http://eprints.utm.my/6181/1/SYuhaniz2007_Anintelligentdecisionmakingsystem.pdf 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 http://ieeexplore.ieee.org/document/4290941/ 10.1109/BLISS.2007.32
spellingShingle Q Science (General)
Yuhaniz, Siti
Vladimirova, Tanya
Gleason, Scott
An intelligent decision-making system for flood monitoring from space
title An intelligent decision-making system for flood monitoring from space
title_full An intelligent decision-making system for flood monitoring from space
title_fullStr An intelligent decision-making system for flood monitoring from space
title_full_unstemmed An intelligent decision-making system for flood monitoring from space
title_short An intelligent decision-making system for flood monitoring from space
title_sort intelligent decision-making system for flood monitoring from space
topic Q Science (General)
url http://eprints.utm.my/6181/
http://eprints.utm.my/6181/
http://eprints.utm.my/6181/
http://eprints.utm.my/6181/1/SYuhaniz2007_Anintelligentdecisionmakingsystem.pdf