Models and methods for automated background density estimation in hyperspectral anomaly detection

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 5, 2013, Pages 2837-2852

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

^a UNIVERSITY OF PISA   (Italy)

Author keywords

Anomaly detection (AD); Bayesian learning; Finite mixture model; Hyperspectral images; Kernel density estimation

Indexed keywords

ANOMALY DETECTION; BAYESIAN LEARNING; FINITE MIXTURE MODELING; HYPER-SPECTRAL IMAGES; KERNEL DENSITY ESTIMATION;

INDEPENDENT COMPONENT ANALYSIS; LEARNING SYSTEMS; MIXTURES; MULTIVARIANT ANALYSIS; PROBABILITY DENSITY FUNCTION; SPECTROSCOPY;

ESTIMATION;

ANOMALY; AUTOMATION; BAYESIAN ANALYSIS; DECISION ANALYSIS; ESTIMATION METHOD; MULTIVARIATE ANALYSIS; PARAMETERIZATION; PROBABILITY; REMOTE SENSING; SPECTRAL RESOLUTION;

EID: 84885022291     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2214392     Document Type: Article

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