A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification.
Michal CholewaPrzemyslaw GlombMichal RomaszewskiPublished in: IEEE Geosci. Remote. Sens. Lett. (2019)
Keyphrases
- support vector machine svm
- hyperspectral data
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- sample selection
- pattern recognition
- spectral signatures
- active learning
- multispectral
- remote sensing
- classification method
- random projections
- infrared
- spectral bands
- spectral resolution
- spatial frequency
- machine learning
- spatial resolution
- target detection
- data compression
- spatial information
- feature vectors
- principal components
- image classification
- classification accuracy
- neural network