Linear Versus Nonlinear PCA for the Classification of Hyperspectral Data Based on the Extended Morphological Profiles.
Giorgio LicciardiPrashanth Reddy MarpuJocelyn ChanussotJón Atli BenediktssonPublished in: IEEE Geosci. Remote. Sens. Lett. (2012)
Keyphrases
- hyperspectral data
- hyperspectral images
- hyperspectral
- hyperspectral imagery
- random projections
- multispectral
- infrared
- remote sensing
- principal components
- principal component analysis
- data compression
- dimension reduction
- image processing
- target detection
- classification accuracy
- feature extraction
- principal components analysis
- kernel principal component analysis
- machine learning
- satellite images
- signal processing
- kernel pca
- principle component analysis
- image segmentation