Spatial-Spectral Hyperspectral Image Classification Using Random Multiscale Representation

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

Volumn 9, Issue 9, 2016, Pages 4129-4141

  Liu, Jianjun ^a,b   Wu, Zebin ^b,c   Li, Jun ^d   Xiao, Liang ^b   Plaza, Antonio ^c   Benediktsson, Jon Atli ^e  

^a JIANGNAN UNIVERSITY   (China)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF EXTREMADURA   (Spain)

^d SUN YAT SEN UNIVERSITY   (China)

^e UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Composite kernels; compressive sensing; hyperspectral; image classification; multiscale representation; random projection

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; SPECTROSCOPY;

AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETERS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; MULTISCALE REPRESENTATIONS; SPATIAL CHARACTERISTICS; SPATIAL INFORMATIONS; SPECTRAL CLASSIFICATION; SPECTRAL CLASSIFIER;

IMAGE CLASSIFICATION;

IMAGE CLASSIFICATION; MATRIX; PIXEL; REMOTE SENSING; SPATIAL ANALYSIS; SPECTRAL ANALYSIS; VECTOR;

EID: 84979763411     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2587678     Document Type: Article

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