On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods

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

Volumn 8, Issue 10, 2015, Pages 4634-4646

  Cavallaro, Gabriele ^a   Riedel, Morris ^a,b   Richerzhagen, Matthias ^b   Benediktsson, Jón Atli ^a   Plaza, Antonio ^c  

^a UNIVERSITY OF ICELAND   (Iceland)

^b Juelich Supercomputing Centre   (Germany)

^c UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

Big data; data mining; high performance computing (HPC); image classification; parallel processing; smart data; spatial analysis; support vector machines (SVMs)

Indexed keywords

DATA HANDLING; DATA MINING; DISASTERS; IMAGE CLASSIFICATION; INFORMATION ANALYSIS; REMOTE SENSING; SPECTRAL RESOLUTION; SUPPORT VECTOR MACHINES;

CLASSIFICATION METHODS; DIMENSIONALITY REDUCTION; HIGH SPECTRAL RESOLUTION; PARALLEL PROCESSING; REMOTELY SENSED IMAGES; SCIENTIFIC DISCIPLINE; SUPPORT VECTOR MACHINE (SVMS); SUPPORT VECTOR MACHINE METHOD;

BIG DATA;

AIRBORNE SENSING; AVIRIS; DATA PROCESSING; HYPERION; IMAGE CLASSIFICATION; LAND COVER; PARALLEL COMPUTING; REMOTE SENSING; SUPPORT VECTOR MACHINE;

EID: 84939177511     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2458855     Document Type: Article

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