Using OWA fusion operators for the classification of hyperspectral images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 6, Issue 2, 2013, Pages 602-614

  Alajlan, Naif ^a   Bazi, Yakoub ^a   Alhichri, Haikel S ^a   Melgani, Farid ^b   Yager, Ronald R ^a,c  

^a KING SAUD UNIVERSITY   (Saudi Arabia)

^b UNIVERSITY OF TRENTO   (Italy)

^c MACHINE INTELLIGENCE INSTITUTE   (United States)

Author keywords

Fusion; hyperspectral images; mean shift (MS) segmentation; ordered weighted averaging (OWA) operator; support vector machine (SVM)

Indexed keywords

AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETERS; CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; HYPER-SPECTRAL IMAGES; IMAGING SPECTROMETERS; MEAN SHIFT; ORDERED WEIGHTED AVERAGING OPERATOR; SPECTRAL-SPATIAL CLASSIFICATION;

CLASSIFICATION (OF INFORMATION); FUSION REACTIONS; SPECTROMETERS; SPECTROSCOPY; STATISTICAL METHODS;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; AVIRIS; DATA SET; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGING METHOD; MAPPING; SPECTRAL ANALYSIS;

EID: 84877928078     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2240437     Document Type: Article

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