Improving Principal Component Analysis Performance for Reducing Spectral Dimension in Hyperspectral Image Classification.
Dewa Made Sri ArsaHadaiq Rolis SanabilaM. Febrian RachmadiAhmad GamalWisnu JatmikoPublished in: IWBIS (2018)
Keyphrases
- hyperspectral image classification
- principal component analysis
- hyperspectral
- hyperspectral images
- active learning
- hyperspectral data
- independent component analysis
- random projections
- principal components
- hyperspectral imagery
- multispectral
- remote sensing
- low dimensional
- face recognition
- dimension reduction
- dimensionality reduction
- singular value decomposition
- feature extraction
- linear discriminant analysis
- information content
- satellite images
- multispectral images
- feature vectors
- learning environment