Improving Hyperspectral Classifiers: The Difference Between Reducing Data Dimensionality and Reducing Classifier Parameter Complexity.
Asbjørn BergeAnne H. Schistad SolbergPublished in: SCIA (2007)
Keyphrases
- hyperspectral
- training data
- support vector
- data dimensionality
- pixel classification
- remote sensing
- training set
- hyperspectral image classification
- decision trees
- hyperspectral imagery
- hyperspectral images
- feature set
- infrared
- feature selection
- svm classifier
- nearest neighbor classifier
- class labels
- image data
- satellite images
- multispectral
- bayesian classifier
- support vector machine
- active learning
- image processing