A subspace-based multinomial logistic regression for hyperspectral image classification

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 12, 2014, Pages 2105-2109

  Khodadadzadeh, Mahdi ^a   Li, Jun ^b   Plaza, Antonio ^a   Bioucas Dias, Jose M ^c  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b SUN YAT SEN UNIVERSITY   (China)

^c INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Hyperspectral imaging; pixelwise classification; subspace multinomial logistic regression (MLR)

Indexed keywords

IMAGE CLASSIFICATION; NASA; REGRESSION ANALYSIS; SPECTROSCOPY; VECTOR SPACES;

AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETERS; HYPER-SPECTRAL CLASSIFICATION; HYPERSPECTRAL IMAGE CLASSIFICATION; HYPERSPECTRAL IMAGING; HYPERSPECTRAL MEASUREMENTS; MULTINOMIAL LOGISTIC REGRESSION; PIXELWISE CLASSIFICATION; STATE-OF-THE-ART APPROACH;

VECTORS;

EID: 84903513301     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2320258     Document Type: Article

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