Hyperspectral image classification using support vector machines: A comparison with decision tree and neural network classifiers

Keyphrases

• Hyperspectral Image Classification 100%
• Support Vector Machine Classification 60%
• In-house Code 20%
• Radial Basis Function Classifier 20%
• Hughes Phenomenon 20%
• Class Classification 20%
• Parametric Classifier 20%
• Multispectral Remote Sensing Data 20%
• Tree Propagation 20%
• Back-propagation Artificial Neural Network (BP-ANN) 20%
• Polynomial Kernel 20%
• AVIRIS Images 20%

Computer Science

• back-propagation neural network 11%
• Parametric Classifier 11%