Classification of multi-spectral, multi-temporal and multi-sensor images using principal components analysis and artificial neural networks: Beykoz case

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 35, Issue , 2004, Pages

  Cetin, M ^a   Kavzoglu, T ^a   Musaoglu, N ^b  

^a GEBZE TECHNICAL UNIVERSITY   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Artificial Neural Networks; Classification; Land Cover; Maximum Likelihood; PCA; Principal Components

Indexed keywords

BACKPROPAGATION ALGORITHMS; IMAGE CLASSIFICATION; MAPS; MAXIMUM LIKELIHOOD; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

ARTIFICIAL NEURAL NETWORK CLASSIFIERS; CLASSIFICATION TECHNIQUE; LAND COVER; MAXIMUM LIKELIHOOD CLASSIFIERS; MULTI-SENSOR SATELLITE IMAGES; PRINCIPAL COMPONENTS; PRINCIPAL COMPONENTS ANALYSIS; SOURCES OF INFORMATIONS;

CLASSIFICATION (OF INFORMATION);

EID: 85012829082     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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