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Volumn , Issue , 2011, Pages 1771-1774
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Structured sparse model based feature selection and classification for hyperspectral imagery
a b,c a a |
Author keywords
Classification; Feature selection; Hyperspectral imaging; Structure sparse models
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Indexed keywords
CLASSIFIER DESIGN;
FEATURE DESCRIPTION;
FEATURE SELECTION AND CLASSIFICATION;
FEATURE VARIABLE;
GROUP LEVEL;
HIGH-DIMENSIONAL;
HYPER-SPECTRAL IMAGES;
HYPERSPECTRAL DATA;
HYPERSPECTRAL IMAGERY;
HYPERSPECTRAL IMAGING;
LOGISTIC REGRESSION MODELS;
MATRIX;
MODEL-BASED OPC;
PIXEL CLASSIFICATION;
REGULARIZED OPTIMIZATION PROBLEMS;
SPECTRAL STRUCTURE;
TRAINING SAMPLE;
DATA PROCESSING;
DATA REDUCTION;
DISCRETE WAVELET TRANSFORMS;
GEOLOGY;
METADATA;
REGRESSION ANALYSIS;
REMOTE SENSING;
THREE DIMENSIONAL;
FEATURE EXTRACTION;
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EID: 80955131878
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IGARSS.2011.6049463 Document Type: Conference Paper |
Times cited : (12)
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References (9)
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