A Nonlinear Multiple Feature Learning Classifier for Hyperspectral Images with Limited Training Samples

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

Volumn 8, Issue 6, 2015, Pages 2728-2738

  Li, Jiayi ^a   Zhang, Hongyan ^a   Zhang, Liangpei ^a  

^a The Collaborative Innovation Center for Geospatial Technology   (China)

Author keywords

Classification; collaborative representation (CR); hyperspectral image (HSI); Kernel method; Small sample set

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); INDEPENDENT COMPONENT ANALYSIS; LINEAR PROGRAMMING; OPTIMIZATION; SPECTROSCOPY;

ALTERNATING OPTIMIZATIONS; CLASSIFICATION RESULTS; COLLABORATIVE REPRESENTATIONS; COMPETITIVE PERFORMANCE; HYPERSPECTRAL IMAGES; KERNEL METHODS; SMALL SAMPLES; SUPPORT VECTOR MACHINE CLASSIFIERS;

IMAGE CLASSIFICATION;

ALGORITHM; DATA SET; IMAGE ANALYSIS; IMAGE CLASSIFICATION; NONLINEARITY; SPECTRAL ANALYSIS;

EID: 85027938563     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2400634     Document Type: Article

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