Residual deep PCA-based feature extraction for hyperspectral image classification.
Minchao YeChenxi JiHong ChenLing LeiHuijuan LuYuntao QianPublished in: Neural Comput. Appl. (2020)
Keyphrases
- hyperspectral image classification
- feature extraction
- principal component analysis
- active learning
- hyperspectral images
- principle component analysis
- hyperspectral
- principal components
- hyperspectral data
- feature selection
- dimensionality reduction
- dimension reduction
- wavelet transform
- face recognition
- image processing
- image classification
- feature vectors
- linear discriminant analysis
- data mining
- random projections
- multispectral
- data sets
- independent component analysis
- feature space
- high quality
- remote sensing
- infrared
- decision trees
- hyperspectral imagery
- machine learning
- image data