A spectral anomaly detector in hyperspectral images based on a non-Gaussian mixture model

2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program

Volumn , Issue , 2010, Pages

  Veracini, Tiziana ^a   Matteoli, Stefania ^a   Diani, Marco ^a   Corsini, Giovanni ^a   De Ceglie, Sergio Ugo ^b  

^a UNIVERSITY OF PISA   (Italy)

^b CISAM   (Italy)

Author keywords

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

Indexed keywords

ANOMALY DETECTION; BAYESIAN APPROACHES; HYPERSPECTRAL IMAGERY; MODEL SELECTION; NON-GAUSSIAN MIXTURE MODEL;

BAYESIAN NETWORKS; BLIND SOURCE SEPARATION; DETECTORS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); IMAGE SEGMENTATION; INDEPENDENT COMPONENT ANALYSIS; PROBABILITY; PROBABILITY DENSITY FUNCTION; SIGNAL DETECTION; SIGNAL PROCESSING; TARGET TRACKING;

REMOTE SENSING;

EID: 78649299970     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2010.5594901     Document Type: Conference Paper

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