Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging.
Jaime ZabalzaJinchang RenJiangbin ZhengHuimin ZhaoChunmei QingZhijing YangPeijun DuStephen MarshallPublished in: Neurocomputing (2016)
Keyphrases
- feature extraction
- dimensionality reduction
- hyperspectral imaging
- principal component analysis
- pattern recognition
- target detection
- feature vectors
- high quality
- random projections
- image processing
- linear discriminant analysis
- high dimensionality
- vision system
- hyperspectral images
- spatial domain
- principal components
- dimension reduction
- mutual information
- high dimensional
- face recognition