An Empirical Mode Decomposition and Composite Kernel Approach to Increase Hyperspectral Image Classification Accuracy.
Begüm DemirSarp ErtürkPublished in: IGARSS (2) (2009)
Keyphrases
- hyperspectral images
- classification accuracy
- support vector
- hyperspectral
- hyperspectral imagery
- feature space
- hyperspectral imaging
- remote sensing
- kernel methods
- kernel function
- feature selection
- hyperspectral data
- multispectral
- target detection
- training set
- computer vision
- spectral signatures
- hyperspectral image classification
- machine learning
- infrared
- multispectral images
- naive bayes
- feature set
- dimensionality reduction
- support vector machine
- pattern recognition
- kernel based nonlinear