Probabilistic classification of hyperspectral images by learning nonlinear dimensionality reduction mapping

2006 9th International Conference on Information Fusion, FUSION

Volumn , Issue , 2006, Pages

  Wang, X Rosalind ^a   Kumar, Suresh ^a   Ramos, Fabio ^a   Kaupp, Tobias ^a   Upcroft, Ben ^a   Durrant Whyte, Hugh ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Hyperspectral imaging; Nonlinear manifold; Probabilistic learning

Indexed keywords

ATMOSPHERICS; CLASSIFICATION (OF INFORMATION); DATA FUSION; EDUCATION; EMBEDDED SYSTEMS; FUSION REACTIONS; IMAGE ENHANCEMENT; INDEPENDENT COMPONENT ANALYSIS; INFORMATION FUSION; MATHEMATICAL MODELS; NUCLEAR PHYSICS; PROBABILITY; SENSOR DATA FUSION; STANDARDS;

COLOUR IMAGES; DATA CLASSIFICATION; EXPECTATION-MAXIMISATION; GRAPHICAL PROBABILISTIC MODELS; HYPER-SPECTRAL DATA; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGING; INFORMATION CONTENTS; INTERNATIONAL CONFERENCES; JOINT PROBABILITY; LINEAR MODELING; LOW-DIMENSIONAL REPRESENTATION; MAN-MADE OBJECTS; NON-LINEAR DIMENSIONALITY REDUCTION; NONLINEAR MANIFOLD; PROBABILISTIC CLASSIFICATION; PROBABILISTIC LEARNING; ROBOTIC VEHICLES; RUN-TIME; TRAINING DATA;

PROBABILITY DISTRIBUTIONS;

EID: 50149118205     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2006.301586     Document Type: Conference Paper

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