Complementarity of discriminative classifiers and spectral unmixing techniques for the interpretation of hyperspectral images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 5, 2015, Pages 2899-2912

  Li, Jun ^a   Dópido, Inmaculada ^b   Gamba, Paolo ^c   Plaza, Antonio ^d  

^a SUN YAT SEN UNIVERSITY   (China)

^b UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

^c UNIVERSITY OF PAVIA   (Italy)

^d UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

Discriminative classification; hyperspectral imaging; semisupervised learning; spectral unmixing

Indexed keywords

HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; PIXELS; SPECTROSCOPY;

CLASSIFICATION PERFORMANCE; DISCRIMINATIVE CLASSIFIERS; EFFECTIVE SOLUTION; MIXTURE INFORMATION; MULTINOMIAL LOGISTIC REGRESSION; SEMI- SUPERVISED LEARNING; SEMI-SUPERVISED CLASSIFICATION; SPECTRAL UNMIXING;

CLASSIFICATION (OF INFORMATION);

COMPLEMENTARITY; DATA INTERPRETATION; DATA QUALITY; IMAGE CLASSIFICATION; NEW RECORD; PIXEL; REGRESSION ANALYSIS; SPECTRAL ANALYSIS;

EID: 84921022024     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2366513     Document Type: Article

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