Harmonic analysis for hyperspectral image classification integrated with PSO optimized SVM

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

Volumn 7, Issue 6, 2014, Pages 2131-2146

  Xue, Zhaohui ^a,b   Du, Peijun ^a,b   Su, Hongjun ^c  

^a Jiangsu Administration of Surveying Mapping and Geoinformation   (China)

^b NANJING UNIVERSITY   (China)

^c HOHAI UNIVERSITY   (China)

Author keywords

Harmonic analysis (HA); hyperspectral image classification; particle swarm optimization (PSO); support vector machine (SVM)

Indexed keywords

CLASSIFICATION (OF INFORMATION); FACE RECOGNITION; HARMONIC ANALYSIS; INFRARED SPECTROMETERS; PARTICLE SWARM OPTIMIZATION (PSO); PIXELS; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

AIRBORNE VISIBLE INFRARED IMAGING SPECTROMETER; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; COMPUTATIONAL TIME; DISCRIMINATIVE FEATURES; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGE CLASSIFICATION; PENALTY PARAMETERS;

IMAGE CLASSIFICATION;

ARTIFICIAL INTELLIGENCE; AVIRIS; DATA SET; HARMONIC ANALYSIS; IMAGE CLASSIFICATION; MULTISPECTRAL IMAGE; OPTIMIZATION; PIXEL;

EID: 84905910095     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2307091     Document Type: Article

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