Fully unsupervised learning of Gaussian mixtures for anomaly detection in hyperspectral imagery

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

Volumn , Issue , 2009, Pages 596-601

  Veracini, Tiziana ^a   Matteoli, Stefania ^a   Diani, Marco ^a   Corsini, Giovanni ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

Anomaly detection; Bayesian approach; Gaussian mixture; Hyperspectral imagery; Model selection

Indexed keywords

ANOMALY DETECTION; BAYESIAN APPROACHES; GAUSSIAN MIXTURES; HYPERSPECTRAL IMAGERY; MODEL SELECTION;

BAYESIAN NETWORKS; IMAGE SEGMENTATION; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; MAGNETOSTRICTIVE DEVICES; MAXIMUM LIKELIHOOD ESTIMATION; MIXTURES; REMOTE SENSING;

PARAMETER ESTIMATION;

EID: 77949510845     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2009.220     Document Type: Conference Paper

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