Combining multiscale features for classification of hyperspectral images: A sequence-based kernel approach.
Yanwei CuiLaetitia ChapelSébastien LefèvrePublished in: WHISPERS (2016)
Keyphrases
- hyperspectral images
- spectral features
- feature space
- multiscale
- classification accuracy
- hyperspectral data
- feature set
- feature vectors
- hyperspectral
- hyperspectral image classification
- feature extraction
- hyperspectral imagery
- support vector
- svm classifier
- remote sensing
- multispectral
- support vector machine
- co occurrence
- spectral bands
- image processing
- pattern recognition
- image classification
- principle component analysis
- kernel function
- feature selection
- information content
- pixel classification
- high dimensionality
- kernel methods
- machine learning
- principal component analysis
- image segmentation