Automatic selection of informative samples for SVM-based classification of hyperspectral data using limited training sets.
Antonio J. PlazaJavier PlazaPublished in: WHISPERS (2010)
Keyphrases
- hyperspectral data
- automatic selection
- training set
- training samples
- hyperspectral images
- svm classifier
- hyperspectral
- classification accuracy
- hyperspectral imagery
- support vector machine svm
- support vector
- support vector machine
- multispectral
- active learning
- random projections
- supervised learning
- feature space
- decision trees
- data sets
- pattern recognition
- infrared
- training dataset
- feature vectors
- training examples
- remote sensing
- text classification
- training data
- feature selection
- change detection
- high dimensionality
- dimension reduction
- data compression
- image classification
- feature set
- nearest neighbor
- high dimensional
- image processing