Improving spatiotemporal change detection: A high level fusion approach for discovering uncertain Knowledge from satellite image databases

World Academy of Science, Engineering and Technology

Volumn 58, Issue , 2009, Pages 52-57

  Boulila, Wadii ^a   Farah, Imed Riadh ^a   Ettabâa, Karim Saheb ^a   Solaiman, Basel ^b   Ghézala, Henda Ben ^a  

^a UNIVERSITY OF MANOUBA   (Tunisia)

^b ECOLE DES MINES DE NANTES   (France)

Author keywords

Data imperfection; Data mining; Knowledge discovery in satellite databases; Knowledge fusion; Spatiotemporal change detection

Indexed keywords

CHANGE DETECTION; CLASSICAL METHODS; DATA IMPERFECTION; EVIDENCE FUSION; KNOWLEDGE DISCOVERY IN DATABASE; KNOWLEDGE DISCOVERY IN SATELLITE DATABASES; KNOWLEDGE DISCOVERY PROCESS; KNOWLEDGE FUSION; LEVEL FUSION; NEW ZEALAND; PREDICTION AND DECISION; QUERY MODEL; SATELLITE IMAGES; SPATIO-TEMPORAL CHANGES; SPATIO-TEMPORAL DATA; SPATIO-TEMPORAL MODELS; SPATIOTEMPORAL EVOLUTION; UNCERTAIN KNOWLEDGE;

DATA MINING; DATABASE SYSTEMS; SIGNAL DETECTION; QUERY PROCESSING;

SATELLITES; DATABASE SYSTEMS;

EID: 79954551516     PISSN: 2010376X     EISSN: 20103778     Source Type: Journal    
DOI: None     Document Type: Article

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