User image mining for natural hazards

Natural hazards such as floods, avalanches, volcanic eruptions or earthquakes inflict losses to human settlements and manmade infrastructure and have negative impact on the local economy and environment. The growing number of satellite missions and space services facilitates the access to informatio...

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Bibliographic Details
Published in2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) Vol. 3; pp. 1 - 6
Main Authors Popescu, A A, Vaduva, C, Faur, D, Raducanu, D, Gavat, I, Datcu, M
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2010
Subjects
Database systems
Deductive databases
Earthquakes
Floods
Hazards
Humans
Inspection
Knowledge management
Satellites
Space missions
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Summary:Natural hazards such as floods, avalanches, volcanic eruptions or earthquakes inflict losses to human settlements and manmade infrastructure and have negative impact on the local economy and environment. The growing number of satellite missions and space services facilitates the access to information for researches and decision makers. Space imagery offers the necessary support for risk prevention and mitigation, but requires human visual inspection which can be subjective, time consuming and ineffective. This paper aims to prove the efficiency of an intelligent knowledge driven EO information mining system in supporting natural hazards' management, by combining large database systems with visual capabilities. Two scenarios are envisaged both considering damage assessment for natural hazards like earthquakes and tsunami.
ISBN:1424467241
9781424467242
DOI:10.1109/AQTR.2010.5520670