Firefly-Algorithm-Inspired Framework with Band Selection and Extreme Learning Machine for Hyperspectral Image Classification

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

Volumn 10, Issue 1, 2017, Pages 309-320

  Su, Hongjun ^a   Cai, Yue ^a   Du, Qian ^b  

^a HOHAI UNIVERSITY   (China)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Band selection; extreme learning machine (ELM); firefly algorithm (FA); hyperspectral image classification

Indexed keywords

ALGORITHMS; BIOLUMINESCENCE; COMPLEX NETWORKS; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; LEARNING SYSTEMS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); SPECTROSCOPY;

CLASSIFICATION ACCURACY; EXTREME LEARNING MACHINE; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; OBJECTIVE FUNCTIONS; PARAMETER OPTIMIZATION; REGULARIZATION COEFFICIENTS; VERY LOW COMPLEXITY;

IMAGE CLASSIFICATION;

ALGORITHM; DATA ACQUISITION; DATA SET; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LEARNING; OPTIMIZATION;

EID: 84981724952     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2591004     Document Type: Article

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