A new framework for hyperspectral image classification using multiple spectral and spatial features

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2014, Pages 4628-4631

  Khodadadzadeh, Mahdi ^a   Li, Jun ^b   Plaza, Antonio ^a   Gamba, Paolo ^c   Benediktsson, Jon Atli ^d   Bioucas Dias, Jose M ^e  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b SUN YAT SEN UNIVERSITY   (China)

^c UNIVERSITY OF PAVIA   (Italy)

^d UNIVERSITY OF ICELAND   (Iceland)

^e INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Hyperspectral images; multiple features learning; spectral spatial classification; subspace multinomial logistic regression (MLRsub)

Indexed keywords

CLASSIFICATION (OF INFORMATION); FIGHTER AIRCRAFT; FLEXIBLE STRUCTURES; HYPERSPECTRAL IMAGING; INDEPENDENT COMPONENT ANALYSIS; INFRARED IMAGING; LOW PASS FILTERS; NASA; REGRESSION ANALYSIS; REMOTE SENSING; SPECTROSCOPY; TRAINING AIRCRAFT;

AIRBORNE VISIBLE INFRARED IMAGING SPECTROMETER; CLASSIFICATION PERFORMANCE; LOW-PASS FILTERING; MULTINOMIAL LOGISTIC REGRESSION; MULTIPLE FEATURES; NASA JET PROPULSION; POSTERIOR PROBABILITY; SPECTRAL-SPATIAL CLASSIFICATION;

IMAGE CLASSIFICATION;

EID: 84911441097     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2014.6947524     Document Type: Conference Paper

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