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Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples

contributor authorImani, Maryam
contributor authorGhassemian, Hassan
date accessioned2020-03-12T18:37:28Z
date available2020-03-12T18:37:28Z
date issued2014
identifier issn1545-598X
identifier other6691921.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/964724?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleBand Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples
typeJournal Paper
contenttypeMetadata Only
identifier padid7998276
subject keywordsfeature extraction
subject keywordshyperspectral imaging
subject keywordspattern clustering
subject keywordsband clustering-based feature extraction
subject keywordsclustering method
subject keywordsfirst-order statistics
subject keywordsgeneralized discriminant analysis
subject keywordshyperspectral image classification
subject keywordsk-means
subject keywordslimited training samples
subject keywordslinear discriminant analysis
subject keywordsnonparametric weighted feature extraction
subject keywordsprincipal component analysis
subject keywordssmall sample size situation
subject keywordsFeature extraction
subject keywordsHyperspectral imaging
subject keywordsPrincipal component analysis
subject keywordsTraining
subject keywordsVectors
subject keywordsClassification
subject keywordscluste
identifier doi10.1109/LGRS.2013.2292892
journal titleGeoscience and Remote Sensing Letters, IEEE
journal volume11
journal issue8
filesize694448
citations0


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