Mining of moving objects from time-series images and its application to satellite weather imagery

Journal of Intelligent Information Systems

Volumn 19, Issue 1, 2002, Pages 79-93

  Honda, Rie ^a   Wang, Shuai ^b   Kikuchi, Tokio ^a   Konishi, Osamu ^c  

^a KOCHI UNIVERSITY   (Japan)

^b Anritsu Industrial Solutions Co Ltd   (Japan)

^c University Hakodate   (Japan)

Author keywords

EM algorithm; Image data sequence; Kohonen's SOM; Mixture gaussian model; Object detection

Indexed keywords

ALGORITHMS; CLOUDS; COMPUTER SIMULATION; FEATURE EXTRACTION; KNOWLEDGE ACQUISITION; OBJECT RECOGNITION; SELF ORGANIZING MAPS; TIME SERIES ANALYSIS; WEATHER SATELLITES;

EXPECTATION MAXIMIZATION ALGORITHM; IMAGE DATA SEQUENCE; KNOWLEDGE DISCOVERY; MIXTURE GAUSSIAN MODEL; OBJECT DETECTION; SATELLITE WEATHER IMAGERY; SCENE CLUSTERING; VIDEO DATASETS;

DATA MINING;

EID: 0036645475     PISSN: 09259902     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1015516504614     Document Type: Article

References (12)

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8. Estimating the dimension of a model
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10. Multiple regimes in northern hemisphere height fields via mixture model clustering