Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples
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: 2014شناسه الکترونیک: 10.1109/LGRS.2013.2292892
کلیدواژه(گان): feature extraction,hyperspectral imaging,pattern clustering,band clustering-based feature extraction,clustering method,first-order statistics,generalized discriminant analysis,hyperspectral image classification,k-means,limited training samples,linear discriminant analysis,nonparametric weighted feature extraction,principal component analysis,small sample size situation,Feature extraction,Hyperspectral imaging,Principal component analysis,Training,Vectors,Classification,cluste
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Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples
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contributor author | Imani, Maryam | |
contributor author | Ghassemian, Hassan | |
date accessioned | 2020-03-12T18:37:28Z | |
date available | 2020-03-12T18:37:28Z | |
date issued | 2014 | |
identifier issn | 1545-598X | |
identifier other | 6691921.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/964724?locale-attribute=fa | |
format | general | |
language | English | |
publisher | IEEE | |
title | Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7998276 | |
subject keywords | feature extraction | |
subject keywords | hyperspectral imaging | |
subject keywords | pattern clustering | |
subject keywords | band clustering-based feature extraction | |
subject keywords | clustering method | |
subject keywords | first-order statistics | |
subject keywords | generalized discriminant analysis | |
subject keywords | hyperspectral image classification | |
subject keywords | k-means | |
subject keywords | limited training samples | |
subject keywords | linear discriminant analysis | |
subject keywords | nonparametric weighted feature extraction | |
subject keywords | principal component analysis | |
subject keywords | small sample size situation | |
subject keywords | Feature extraction | |
subject keywords | Hyperspectral imaging | |
subject keywords | Principal component analysis | |
subject keywords | Training | |
subject keywords | Vectors | |
subject keywords | Classification | |
subject keywords | cluste | |
identifier doi | 10.1109/LGRS.2013.2292892 | |
journal title | Geoscience and Remote Sensing Letters, IEEE | |
journal volume | 11 | |
journal issue | 8 | |
filesize | 694448 | |
citations | 0 |