Spectral-spatial classification of hyperspectral data using local and global probabilities for mixed pixel characterization

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 10, 2014, Pages 6298-6314

  Khodadadzadeh, Mahdi ^a   Li, Jun ^b   Plaza, Antonio ^a   Ghassemian, Hassan ^c   Bioucas Dias, Jose M ^d   Li, Xia ^b  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b SUN YAT SEN UNIVERSITY   (China)

^c TARBIAT MODARES UNIVERSITY   (Iran)

^d INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Hyperspectral imaging; Markov random field (MRF); Multiple classifiers; Spectral spatial classification; Subspace multinomial logistic regression (MLRsub); Support vector machine (SVM)

Indexed keywords

IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; MARKOV PROCESSES; PROBABILITY; REGRESSION ANALYSIS; SAMPLING; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

HYPERSPECTRAL IMAGING; MARKOV RANDOM FIELDS; MULTINOMIAL LOGISTIC REGRESSION; MULTIPLE CLASSIFIERS; SPECTRAL-SPATIAL CLASSIFICATION;

PIXELS;

DATA SET; IMAGE CLASSIFICATION; PIXEL; REGRESSION ANALYSIS; REMOTE SENSING; SPECTRAL ANALYSIS;

EID: 84901857500     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2296031     Document Type: Article

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